IJCNN 2009: Atlanta, Georgia, USA

• Mohammad Abdollahi, Ehsan Valavi, Hossein Ahmadi Noubari:
  Voice-based gender identification via multiresolution frame classification of spectro-temporal maps. 1-4
  
• Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering:
  Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative study. 5-12
  
• Rahib Hidayat Abiyev, Okyay Kaynak:
  Identification and control of time-varying plants using type-2 fuzzy neural system. 13-19
  
• Alberto Acerbi, Davide Marocco:
  Orienting learning by exploiting sociality: An evolutionary robotics simulation. 20-27
  
• Brahim Achili, Boubaker Daachi, Arab Ali Chérif, Yacine Amirat:
  Combined multi-layer perceptron neural network and sliding mode technique for parallel robots control : An adaptive approach. 28-35
  
• Tsvi Achler, Dervis C. Vural, Eyal Amir:
  Counting objects with biologically inspired regulatory-feedback networks. 36-40
  
• Tsvi Achler:
  Using non-oscillatory dynamics to disambiguate simultaneous patterns. 41-48
  
• Mathias M. Adankon, Mohamed Cheriet:
  Help-training semi-supervised LS-SVM. 49-56
  
• Paulo J. L. Adeodato, Adrian L. Arnaud, Germano C. Vasconcelos, Rodrigo C. L. V. Cunha, Tarcísio B. Gurgel, Domingos S. M. P. Monteiro:
  The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge. 57-62
  
• Peyman Adibi, Reza Safabakhsh:
  Batch linear manifold topographic map with regional dimensionality estimation. 63-70
  
• Mohamad Javad Aein, Heidar A. Talebi:
  Introducing a training methodology for cellular neural networks solving partial differential equations. 71-75
  
• Alma Y. Alanis, Luis J. Ricalde, Edgar N. Sanchez:
  High Order Neural Networks for wind speed time series prediction. 76-80
  
• Azadeh Alavi, Brenton Cavanagh, Gervase Tuxworth, Adrian Meedeniya, Alan Mackay-Sim, Michael Blumenstein:
  Automated classification of dopaminergic neurons in the rodent brain. 81-88
  
• Luís A. Alexandre, Mark J. Embrechts, Jamathan Linton:
  Benchmarking reservoir computing on time-independent classification tasks. 89-93
  
• Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho:
  Hybrid intelligent immune system using Radial Basis Function applied to Time Series Analysis. 94-101
  
• Jose Lima Alexandrino, George D. C. Cavalcanti, Edson Costa de Barros Carvalho Filho:
  Hybrid intelligent system clonart applied to face recognition. 102-107
  
• Muhamed Syed Ali, Pagavathigounder Balasubramaniam:
  Stability analysis of Takagi-Sugeno fuzzy Hopfield neural networks with discrete and distributed time varying delays. 108-113
  
• Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
  Just in time classifiers: Managing the slow drift case. 114-120
  
• Ahmed M. Allam, Hazem M. Abbas:
  Improved security of neural cryptography using don't-trust-my-partner and error prediction. 121-127
  
• Hasan Al-Marzouqi:
  Data Clustering Using a Modified Kuwahara Filter. 128-132
  
• Victor M. O. Alves, George D. C. Cavalcanti:
  Tree Architecture Pattern Distributor: a task decomposition classification approach. 133-140
  
• Carlos Alzate, Johan A. K. Suykens:
  A regularized formulation for spectral clustering with pairwise constraints. 141-148
  
• Manoel C. Amorim Neto, George D. C. Cavalcanti, Ing Ren Tsang:
  Financial time series prediction using exogenous series and combined neural networks. 149-156
  
• Razvan Andonie, Levente Fabry-Asztalos, Bogdan Crivat, Sarah Abdul-Wahid, Badi Abdul-Wahid:
  Fuzzy ARTMAP rule extraction in computational chemistry. 157-163
  
• Kofi Appiah, Andrew Hunter, Hongying Meng, Shigang Yue, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit:
  A binary Self-Organizing Map and its FPGA implementation. 164-171
  
• Ronaldo R. B. de Aquino, Milde M. S. Lira, Josinaldo B. de Oliveira, Manoel A. Carvalho, Otoni Nóbrega Neto, Givanildo J. de Almeida:
  Application of wavelet and neural network models for wind speed and power generation forecasting in a Brazilian experimental wind park. 172-178
  
• Ronaldo R. B. de Aquino, Jose M. B. Bezerra, Milde M. S. Lira, Gabriela S. M. Santos, Otoni Nóbrega Neto, Carlos Alberto B. de O. Lira:
  Combining Artificial Neural Network for diagnosing polluted insulators. 179-183
  
• Michael A. Arbib:
  From Mirror Neurons to Computational Neurolinguistics. 184-190
  
• Paolo Arena, Sebastiano De Fiore, Davide Lombardo, Luca Patané:
  Emergence of perceptual states in nonlinear lattices: A new computational model for perception. 191-198
  
• Javad Arif, Nilanjan Ray Chaudhuri, Swakshar Ray, Balarko Chaudhuri:
  Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems. 199-206
  
• Sameer Ather, Leif E. Peterson, Vijay Divakaran, Anita Deswal, B. Bozkurt, Douglas L. Mann:
  Unsupervised cluster analysis and mortality risk in the Digitalis Investigation Group (DIG) trial of heart failure. 207-212
  
• Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa:
  Patient stratification with competing risks by multivariate Fisher distance. 213-220
  
• Seung-Mook Baek, Jung-Wook Park:
  Nonlinear controller optimization of a power system based on reduced multivariate polynomial model. 221-228
  
• Hasan Bagher-Ebadian, Kourosh Jafari-Khouzani, Panayiotis D. Mitsias, Hamid Soltanian-Zadeh, Michael Chopp, James R. Ewing:
  Predicting final extent of ischemic infarction using an artificial neural network analysis of multiparametric MRI in patients with stroke. 229-235
  
• Hasan Bagher-Ebadian, Ramesh Paudyal, Tom Mikkelsen, Quan Jiang, James R. Ewing:
  Rapid and direct quantification of longitudinal relaxation time (T1) in look-locker sequences using an adaptive neural network. 236-240
  
• Xuerui Bai, Dongbin Zhao, Jianqiang Yi:
  Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programming. 241-248
  
• Kevin Bailly, Maurice Milgram:
  BISAR: Boosted input selection algorithm for regression. 249-255
  
• Tao Ban, Youki Kadobayashi, Shigeo Abe:
  Sparse kernel feature analysis using FastMap and its variants. 256-263
  
• Alan J. Barton, Julio J. Valdés, Robert Orchard:
  Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology. 264-271
  
• Hamidreza Bayati, Shahabeddin Vahdat, Bijan Vosoughi Vahdat:
  Investigating the properties of optimal sensory and motor synergies in a nonlinear model of arm dynamics. 272-279
  
• Derek Beaton, Iren Valova, Daniel MacLean:
  Growing mechanisms and cluster identification with TurSOM. 280-287
  
• Derek Beaton, Iren Valova, Daniel MacLean:
  TurSOM: A Turing inspired Self-Organizing Map. 288-295
  
• Timothy Bender, V. Scott Gordon, Michael Daniels:
  Partitioning strategies for modular neural networks. 296-301
  
• Simon Bernard, Laurent Heutte, Sébastien Adam:
  On the selection of decision trees in Random Forests. 302-307
  
• Abdul Aziz Bhatti:
  A minimum interconnection direct storage model of a neural bidirectional memory. 308-315
  
• Abdul Aziz Bhatti:
  A model of an intraconnected neural parallel bidirectional memory. 316-323
  
• Abdul Aziz Bhatti:
  Comparison of an efficient direct storage BAM model with traditional neural bidirectional memories. 324-331
  
• Ida Bifulco, Carmine Fedullo, Francesco Napolitano, Giancarlo Raiconi, Roberto Tagliaferri:
  Global optimization, Meta Clustering and consensus clustering for class prediction. 332-339
  
• Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi:
  Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data. 340-346
  
• Sodia Blad, David Larsson, Nick Outram, Karl G. Rosen:
  Assessment of fetal reactivity biopatterns during labour by fetal ECG analysis. 347-352
  
• Alan Blair, Guanzhong Li:
  Training of recurrent Internal Symmetry Networks by backpropagation. 353-358
  
• Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
  A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset. 359-366
  
• Roman Borisyuk, David Chik, Yakov B. Kazanovich:
  Partial synchronization of neural activity and information processing. 367-374
  
• Alexander Borzenko:
  Neuron mechanism of human languages. 375-382
  
• Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau:
  Chaotic phase synchronization for visual selection. 383-390
  
• Dominic Palmer-Brown, Chrisina Draganova, Sin Wee Lee:
  Snap-drift neural network for selecting student feedback. 391-398
  
• N. Andrew Browning, Stephen Grossberg, Ennio Mingolla:
  A neural model of visually-guided navigation in a cluttered world. 399-400
  
• Daniel Bullock, Can Ozan Tan:
  Computational implications of microcircuit specializations in forebrain circuits for motivated action selection. 401-407
  
• Thomas Burwick:
  Temporal coding: Competition for coherence and new perspectives on assembly formation. 408-417
  
• Feng Cai, Vladimir Cherkassky:
  SVM+ regression and multi-task learning. 418-424
  
• Qiao Cai, Haibo He, Hong Man:
  SOMSO: A self-organizing map approach for spatial outlier detection with multiple attributes. 425-431
  
• Pascual Campoy:
  Dimensionality reduction by self organizing maps that preserve distances in output space. 432-438
  
• Yuan Cao, Haibo He, Rajarathnam Chandramouli:
  A novel portfolio optimization method for foreign currency investment. 439-445
  
• Yuan Cao, Haibo He, Xiaoping Shen:
  DensityRank: A novel feature ranking method based on kernel estimation. 446-453
  
• Gail A. Carpenter:
  Large-scale neural systems for vision and cognition. 454-459
  
• Rocio Carrasco, Edgar N. Sanchez, Catherine Cadet:
  Neuronal network identification of a wastewater treatment prototype. 460-466
  
• Pablo A. D. Castro, Fernando J. Von Zuben:
  Learning Bayesian networks to perform feature selection. 467-473
  
• Mario Ignacio Chacon Murguia, Gonzalez D. Sergio, Javier Vega-Pineda:
  Simplified SOM-neural model for video segmentation of moving objects. 474-480
  
• Goutam Chakraborty, Basabi Chakraborty, Jagdish Chandra Patra, Chotipat Pornavalai:
  An MLP-based face authentication technique robust to orientation. 481-488
  
• Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
  A regression model with a hidden logistic process for feature extraction from time series. 489-496
  
• Shanmuganathan Chandrakala, Chellu Chandra Sekhar:
  Combination of generative models and SVM based classifier for speech emotion recognition. 497-502
  
• Sylvain Chartier, Gyslain Giguère, Dominic Langlois, Rana Sioufi:
  Bidirectional Associative Memories, Self-Organizing Maps and k-Winners-Take-All: Uniting feature extraction and topological principles. 503-510
  
• Miguel Perez Chavariar, Carlos Mejia, Cecile Mallet, Michel Crépon, Fouad Badran, Sylvie Thiria:
  Rain rate retrieval by processing the observations of the 85V and 85H GHz channels of the SSM/I and TMI passive microwave sensors. 511-517
  
• Qihong Chen, Shuhai Quan, Changjun Xie:
  Nonlinear predictive control for oxygen supply of a fuel cell system. 518-521
  
• Sheng Chen, Haibo He:
  SERA: Selectively recursive approach towards nonstationary imbalanced stream data mining. 522-529
  
• Songjie Chen, Yang Yang, Sivasubramanya N. Balakrishnan, Nhan T. Nguyen, Kalmanje Krishnakumar:
  SNAC convergence and use in adaptive autopilot design. 530-537
  
• Long Cheng, Zeng-Guang Hou, Noriyasu Homma, Min Tan, Madan M. Gupta:
  Solving convex optimization problems using recurrent neural networks in finite time. 538-543
  
• Vladimir Cherkassky, Feng Cai, Lichen Liang:
  Predictive learning with sparse heterogeneous data. 544-551
  
• Chi-Chung Cheung, Sin Chun Ng:
  The multi-phase method in fast learning algorithms. 552-559
  
• Soukeina Ben Chikha, Kirmene Marzouki:
  A behavioral study of learning in standard SOM and in S-SOM. 560-565
  
• Minkook Cho, Hyeyoung Park:
  Nonlinear dimension reduction using ISOMap based on class information. 566-570
  
• Ji Ryang Chung, Jaerock Kwon, Yoonsuck Choe:
  Evolution of recollection and prediction in neural networks. 571-577
  
• Ryan Cleaver, Ganesh K. Venayagamoorthy:
  Learning nonlinear functions with MLPs and SRNs. 578-585
  
• Fengyu Cong, Zhilin Zhang, Igor Kalyakin, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi:
  Non-negative matrix factorization Vs. FastICA on mismatch negativity of children. 586-590
  
• Juan Jose Cordova, Wen Yu:
  Stable fourier neural networks with application to modeling lettuce growth. 591-596
  
• Sathya Costagliola, Bernardo Dal Seno, Matteo Matteucci:
  Recognition and classification of P300s in EEG signals by means of feature extraction using wavelet decomposition. 597-603
  
• Mark A. Cowan, Cary D. Butler:
  Using input-space bisection and backpropagation as a method to emulate complex numerical simulations for design decision making. 604-611
  
• Paolo Crippa, Francesco Gianfelici, Claudio Turchetti:
  Information theoretical algorithm based on statistical models for blind identification of nonstationary dynamical systems. 612-618
  
• Sven F. Crone, Nikolaos Kourentzes:
  Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency. 619-626
  
• Rossana M. S. Cruz, Paulo H. da F. Silva, Adailo G. D'Assuncao:
  Synthesis of crossed dipole frequency selective surfaces using genetic algorithms and artificial neural networks. 627-633
  
• Jing Dai, Ganesh K. Venayagamoorthy, Ronald G. Harley:
  Harmonic identification using an Echo State Network for adaptive control of an active filter in an electric ship. 634-640
  
• Heydar Davoudi, Ali Taalimi, Emad Fatemizadeh:
  Extracting activated regions of fMRI data using unsupervised learning. 641-645
  
• Sergio Decherchi, Paolo Gastaldo, Mauro Parodi, Rodolfo Zunino:
  Circuit implementation of SVM training. 646-651
  
• Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino:
  Maximal-discrepancy bounds for regularized classifiers. 652-656
  
• James M. DeLeo, Carl Leonard, Anne E. Sumner:
  Constructing clinical scoring systems to determine the need for an oral glucose tolerance test. 657-662
  
• Emílio Del Moral Hernandez, Humberto Sandmann, Gleison Araujo:
  Context dependent pattern recognition - A framework for hybrid architectures bridging chaotic neural networks based on Recursive Processing Elements and symbolic information. 663-670
  
• Rustu Murat Demirer, Robert Kozma, Mert Çaglar, Yasar Polatoglu:
  A new nonlinear filter design for the detection of phase transitions in ECoG data. 671-676
  
• Priyanka Desai, Sreela Sasi, Manoj Kumar Prabhakaran:
  Vision based Injector Spray pattern Testing system. 677-682
  
• Robert Desimone:
  Neural synchrony and selective attention. 683-684
  
• Gianluca Di Muro, Silvia Ferrari:
  A constrained backpropagation approach to solving Partial Differential Equations in non-stationary environments. 685-689
  
• Alessandro G. Di Nuovo, Santo Di Nuovo, Serafino Buono, Vincenzo Catania:
  Feedforward artificial neural network to estimate iq of mental retarded people from different psychometric instruments. 690-696
  
• Daniel B. Dias, Renata C. B. Madeo, Thiago Rocha, Helton Hideraldo Bíscaro, Sarajane Marques Peres:
  Hand movement recognition for Brazilian Sign Language: A study using distance-based neural networks. 697-704
  
• Kyle B. Dickerson, Dan Ventura:
  Music recommendation and query-by-content using Self-Organizing Maps. 705-710
  
• Travis Dierks, Balaje T. Thumati, Sarangapani Jagannathan:
  Adaptive dynamic programming-based optimal control of unknown affine nonlinear discrete-time systems. 711-716
  
• A. D. Dileep, Chellu Chandra Sekhar:
  Representation and feature selection using multiple kernel learning. 717-722
  
• Simona Doboli, Vincent R. Brown, Ali A. Minai:
  A conceptual neural model of idea generation. 723-729
  
• Ryanne Dolan, Guilherme N. DeSouza:
  GPU-based simulation of cellular neural networks for image processing. 730-735
  
• Franck Dufrenois, Jean-Charles Noyer:
  A kernel hat matrix based rejection criterion for outlier removal in support vector regression. 736-743
  
• Hazem M. El-Bakry, Nikos E. Mastorakis:
  A simple design and implementation of reconfigurable neural networks. 744-750
  
• Hazem M. El-Bakry, Mohamed Hamada:
  Fast principal component analysis for face detection using cross-correlation and image decomposition. 751-756
  
• Hazem M. El-Bakry:
  Fast record detection in large databases using new high speed time delay neural networks. 757-763
  
• David A. Elizondo, Ralph Birkenhead, Matías Gámez, Noelia García Rubio, Esteban Alfaro Cortés:
  Estimation of classification complexity. 764-770
  
• Ryan Elwell, Robi Polikar:
  Incremental learning in nonstationary environments with controlled forgetting. 771-778
  
• Wael Emara, Mehmed M. Kantardzic:
  Local properties of RBF-SVM during training for incremental learning. 779-786
  
• Péter Érdi:
  Lessons from complex systems modeling: Crisis, innovation, decision making. 787-788
  
• Pablo A. Estévez, Andrés M. Chong:
  A robust nonlinear projection method using the neural gas network. 789-796
  
• Nastaran Farahmand, Mir Hossein Dezfoulian, Hossein GhiasiRad, Alireza Mokhtari, Ali Nouri:
  Online temporal pattern learning. 797-802
  
• Bruno J. T. Fernandes, George D. C. Cavalcanti, Ing Ren Tsang:
  A receptive field based approach for face detection. 803-810
  
• Aida A. Ferreira, Teresa Bernarda Ludermir:
  Genetic algorithm for reservoir computing optimization. 811-815
  
• Ednaldo J. Ferreira, Alexandre C. B. Delbem, Roseli Romero, Osvaldo N. Oliveira:
  Random subspaces of the instance and principal component spaces for ensembles. 816-819
  
• Juan Figueredo, Janatan Gomez:
  Applying neural fields to the stability problem of an inverted pendulum as a simple biped walking model. 820-827
  
• Simone Fiori, Toshihisa Tanaka:
  Learning averages over the lie group of symmetric positive-definite matrices. 828-832
  
• Simone Fiori:
  Learning averages over the lie group of unitary matrices. 833-837
  
• Dominik Fisch, Bernhard Sick:
  Training of radial basis function classifiers with resilient propagation and variational Bayesian inference. 838-847
  
• Alexandru G. Floares:
  A neural networks algorithm for inferring drug gene regulatory networks from microarray time-series with missing transcription factors information. 848-854
  
• Alexandru G. Floares:
  Intelligent clinical decision supports for interferon treatment in chronic hepatitis C and B based on i-biopsy^TM. 855-860
  
• Komla A. Folly, Ganesh K. Venayagamoorthy:
  Effects of learning rate on the performance of the population based incremental learning algorithm. 861-868
  
• José F. Fontanari, Vadim Tikhanoff, Angelo Cangelosi, Leonid I. Perlovsky:
  A cross-situational algorithm for learning a lexicon using Neural modeling fields. 869-876
  
• Alejandro Foullon-Perez, Simon M. Lucas:
  Orientational features with the SNT-grid. 877-881
  
• Walter J. Freeman:
  Cortical mechanisms of memory formation and readout. 882-889
  
• Antonino Freno, Edmondo Trentin, Marco Gori:
  Scalable statistical learning: A modular bayesian/markov network approach. 890-897
  
• Hong Fu, Shuya Zhang, Zheru Chi, David Dagan Feng, Xiaoyu Zhao:
  Tree structures with attentive objects for image classification using a neural network. 898-902
  
• Si-Yao Fu, Guosheng Yang, Zeng-Guang Hou:
  LS-SVM based neural controller as optimized by particle swarm algorithm using dual heuristic dynamic programming. 903-908
  
• Rita Fuentes, Alexander S. Poznyak, Isaac Chairez, Tatyana Poznyak:
  Neural numerical modeling for uncertain distributed parameter systems. 909-916
  
• Alejandro Garcia, Isaac Chairez, Alexander S. Poznyak, Tatyana Poznyak:
  Robust identification of uncertain nonlinear systems with state constrains by Differential Neural Networks. 917-924
  
• Ramon Garcia-Hernandez, Edgar N. Sanchez, Maarouf Saad, Eduardo Bayro-Corrochano:
  Discrete-time decentralized neural block controller for a five DOF robot manipulator. 925-931
  
• Rodolfo García-Rodríguez, Pablo Zegers, Vicente Parra-Vega:
  Bounded-time system identification under neuro-sliding training. 932-937
  
• Beatriz Aurora Garro Licon, Juan Humberto Sossa Azuela, Roberto Antonio Vázquez:
  Design of artificial neural networks using a modified Particle Swarm Optimization algorithm. 938-945
  
• Eduardo Gasca, Juan H. Pacheco, Fernando Alvarez:
  Neural networks for fitting PES data distributions of asphaltene interaction. 946-952
  
• Adam E. Gaweda:
  Improving management of Anemia in End Stage Renal Disease using Reinforcement Learning. 953-958
  
• George K. Georgoulas, Voula C. Georgopoulos, George Stylios, Chrysostomos D. Stylios:
  Detection of articulation disorders using Empirical Mode Decomposition and neural networks. 959-964
  
• Madhumala Ghosh, Aruna Chakraborty, Ayan Acharya, Amit Konar, Bijaya K. Panigrahi:
  A recurrent neural model for parameter estimation of mixed emotions from facial expressions of the subjects. 965-972
  
• Soumya Ghosh, Soundararajan Srinivasan, Burton Andrews:
  Using weak supervision in learning Gaussian mixture models. 973-979
  
• Gecynalda S. da S. Gomes, Teresa Bernarda Ludermir, Leandro M. Almeida:
  Neural networks with asymmetric activation function for function approximation. 980-987
  
• V. Scott Gordon, Michael Daniels, James Boheman, Marcus Watstein, Derek Goering, B. Urban:
  Visualization tool for a Self-Splitting modular Neural Network. 988-993
  
• Mihajlo Grbovic, Slobodan Vucetic:
  Learning Vector Quantization with adaptive prototype addition and removal. 994-1001
  
• Stephen Grossberg:
  View-invariant object category learning, attention, recognition, search, and scene understanding. 1002-1004
  
• Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
  From variable weighting to cluster characterization in topographic unsupervised learning. 1005-1010
  
• Beata Grzyb, Eris Chinellato, Grzegorz M. Wojcik, Wieslaw A. Kaminski:
  Facial expression recognition based on Liquid State Machines built of alternative neuron models. 1011-1017
  
• Beata Grzyb, Eris Chinellato, Grzegorz M. Wojcik, Wieslaw A. Kaminski:
  Which model to use for the Liquid State Machine? 1018-1024
  
• Cengiz Günay, Astrid A. Prinz:
  Finding sensors for homeostasis of biological neuronal networks using artificial neural networks. 1025-1032
  
• Haixiang Guo, Lanlan Li, Kejun Zhu, Chang Ding:
  Application of PSO and MPSO in project scheduling of the first mining face in coal mining. 1033-1040
  
• Wei Guo, Liqing Zhang:
  Temporal competitive learning induced in neural networks by spike timing-dependent plasticity. 1041-1046
  
• Ankur Gupta:
  Detecting load conditions in human walking using expectation maximization and neural networks. 1047-1053
  
• Ankur Gupta, Lyle N. Long:
  Hebbian learning with winner take all for spiking neural networks. 1054-1060
  
• Gurunath Gurrala, Radhakant Padhi, Indraneel Sen:
  Power System Stability enhancement by Single Network Adaptive Critic Stabilizers. 1061-1066
  
• Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Juan Carlos Fernández:
  MultiLogistic Regression using Initial and Radial Basis Function covariates. 1067-1074
  
• Donghyeop Han, Heeyoul Choi, Choonseog Park, Yoonsuck Choe:
  Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection. 1075-1082
  
• Min Han, Jianchao Fan, Bing Han:
  An Adaptive dynamic evolution feedforward neural network on modified particle swarm optimization. 1083-1089
  
• Min Han, Yanan Wang:
  Nonlinear time series online prediction using reservoir kalman filter. 1090-1094
  
• Daichi Hanagaki, Yuko Osana:
  Similarity-based image retrieval considering artifacts by self-organizing map with refractoriness. 1095-1100
  
• Sebastian Handrich, Andreas Herzog, Andreas Wolf, Christoph S. Herrmann:
  Prerequisites for integrating unsupervised and reinforcement learning in a single network of spiking neurons. 1101-1106
  
• Taku Haraguchi, Haruna Matsushita, Yoshifumi Nishio:
  Community self-organizing map and its application to data extraction. 1107-1114
  
• Moufid Harb, Rami S. Abielmona, Emil M. Petriu:
  Speed control of a mobile robot using neural networks and fuzzy logic. 1115-1121
  
• Mohammed A. Hasan:
  Families of orthonormalization algorithms. 1122-1127
  
• Mohammed A. Hasan:
  On multi-set canonical correlation analysis. 1128-1133
  
• Sho Hashimoto, Hiroyuki Torikai:
  Bifurcation analysis of a reconfigurable hybrid spiking neuron and its novel online learning algorithm. 1134-1141
  
• Hassab Elgawi Osman:
  A binary classification and online vision. 1142-1148
  
• Hado van Hasselt, Marco A. Wiering:
  Using continuous action spaces to solve discrete problems. 1149-1156
  
• S. Riaz ul Hassnain, Azzam ul Asar, Farah Mahmood:
  Performance of STLF model from the PSO, time series and regression perspectives. 1157-1162
  
• Chao-Hui Huang, Wee Kheng Leow, Daniel Racoceanu:
  A Cellular Neural Network as a Principal Component Analyzer. 1163-1170
  
• Hirotomo Hayashi, Qiangfu Zhao:
  Model reduction of neural network trees based on dimensionality reduction. 1171-1176
  
• Hongmei He, Jonathan Lawry:
  A linguistic CMAC equivalent to a Linguistic Decision Tree for classification. 1177-1183
  
• Michael J. Healy, Thomas P. Caudell:
  Temporal semantics: An extended definition for neural morphisms. 1184-1191
  
• Sébastien Hélie, F. Gregory Ashby:
  A neurocomputational model of automaticity and maintenance of abstract rules. 1192-1198
  
• Sébastien Hélie, Ron Sun:
  Simulating incubation effects using the Explicit Implicit Interaction with Bayes Factor (EII-BF) model. 1199-1205
  
• Gyeongyong Heo, Paul D. Gader:
  Learning the number of gaussian components using hypothesis test. 1206-1212
  
• Gyeongyong Heo, Paul D. Gader, Hichem Frigui:
  Robust kernel PCA using fuzzy membership. 1213-1220
  
• Raul Acosta Hernandez, Marius Strum, Wang Jiang Chau, Jose Artur Quilici Gonzalez:
  The Multiple Pairs SMO: A modified SMO algorithm for the acceleration of the SVM training. 1221-1228
  
• Herve Le Guen, Moga Sorin:
  A model of cooperative agent based on imitation and Maslow's Pyramid of needs. 1229-1236
  
• Akira Hirose:
  Complex-valued neural networks: The merits and their origins. 1237-1244
  
• Honggui Han, Junfei Qiao:
  A novel pruning algorithm for self-organizing neural network. 1245-1250
  
• Haruo Hosoya:
  A motor learning neural model based on Bayesian network and reinforcement learning. 1251-1258
  
• Chih-Hung Hsieh, Darby Tien-Hao Chang, Yen-Jen Oyang:
  Data classification with a generalized Gaussian components based density estimation algorithm. 1259-1266
  
• Hwa-Shan Huang, Nikhil R. Pal, Li-Wei Ko, Chin-Teng Lin:
  Automatic identification of useful independent components with a view to removing artifacts from eeg signal. 1267-1271
  
• Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell:
  Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. 1272-1277
  
• Kou-Jen Huang, Kou-Yuan Huang, Luke K. Wang, Ying-Liang Chou, Yueh-Hsun Hsieh, Shan-Chih Hsieh:
  Simulated annealing for pattern detection and seismic analysis. 1278-1285
  
• Xi Huang, Ying Tan, Xingui He:
  An intelligent multi-feature statistical approach for discrimination of driving conditions of hybrid electric vehicle. 1286-1293
  
• Yaping Huang, Jiali Zhao, Mei Tian, Qi Zou, Siwei Luo:
  Slow Feature Discriminant Analysis and its application on handwritten digit recognition. 1294-1297
  
• Zsófia Huhn, Zoltán Somogyvári, Tamás Kiss, Péter Érdi:
  Extraction of distance information from the activity of entorhinal grid cells: a model study. 1298-1303
  
• Vu Thi Lan Huong, Dong-Chul Park, Yunsik Lee:
  Centroid neural network for face recognition. 1304-1309
  
• Vu Thi Lan Huong, Dong-Chul Park, Dong-Min Woo, Yunsik Lee:
  Centroid neural network with Chi square distance measure for texture classification. 1310-1315
  
• Thuan Q. Huynh, James A. Reggia:
  Improving rule extraction from neural networks by modifying hidden layer representations. 1316-1321
  
• Alexander Ilin, Alexey Kaplan:
  Bayesian PCA for reconstruction of historical sea surface temperatures. 1322-1327
  
• Roman Ilin, Robert Kozma:
  Sensor integration in KIV brain model for decision making. 1328-1334
  
• Takashi Inoue, Yoshifumi Nishio:
  Applications of color image processing using three-layer cellular neural network considering HSB model. 1335-1342
  
• Jason C. Isaacs:
  Stochastic orthogonal and nonorthogonal subspace basis pursuit. 1343-1348
  
• Abraham K. Ishihara, Shahar Ben-Menahem, Nhan Nguyen:
  Protection ellipsoids for stability analysis of feedforward neural-net controllers. 1349-1356
  
• Tanvir Islam, Yoko Yamaguchi:
  Representation of an environmental space by grid fields: A study with a computational model of the grid cell based on a column structure. 1357-1364
  
• Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui:
  An iterative learning scheme for multistate complex-valued and quaternionic Hopfield neural networks. 1365-1371
  
• Serena Ivaldi, Marco Baglietto, Franco Davoli, Riccardo Zoppoli:
  Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method. 1372-1379
  
• Laxmi R. Iyer, Ali A. Minai, Vincent R. Brown, Paul B. Paulus, Simona Doboli:
  Effects of relevant and irrelevant primes on idea generation: A computational model. 1380-1387
  
• Hamid Izadinia, Fereshteh Sadeghi, Mohammad Mehdi Ebadzadeh:
  A Hybrid Fuzzy Neuro-Immune Network based on Multi-Epitope approach. 1388-1393
  
• Brijnesh J. Jain, Klaus Obermayer:
  Bimal: Bipartite matching alignment for the contact map overlap problem. 1394-1400
  
• Brijnesh J. Jain, Brijnesh Stehr, Michael Lappe, Klaus Obermayer:
  Multiple alignment of contact maps. 1401-1406
  
• Derek James, Anthony S. Maida:
  Sequential hierarchical recruitment learning in a network of spiking neurons. 1407-1413
  
• Marko V. Jankovic, Masashi Sugiyama:
  Probabilistic principal component analysis based on JoyStick Probability Selector. 1414-1421
  
• Girish K. Jha, Parimala Thulasiraman, Ruppa K. Thulasiram:
  PSO based neural network for time series forecasting. 1422-1427
  
• Yulei Jiang, Richard M. Zur, Lorenzo L. Pesce, Karen Drukker:
  A study of the effect of noise injection on the training of artificial neural networks. 1428-1432
  
• Ghassan Omar Jibril, Marifi Guler:
  The renormalization of neuronal dynamics can enhance temporal synchronization among synaptically coupled neurons. 1433-1438
  
• Raghavender R. Jillela, Arun Ross:
  Adaptive frame selection for improved face recognition in low-resolution videos. 1439-1445
  
• Jin Zhang, Shangwu Zhu, Rulong Wang, Guang Li, Walter J. Freeman:
  A new method to generate color texture images based on HSV and olfactory system bionic model. 1446-1449
  
• Cameron Johnson, Ganesh K. Venayagamoorthy, Pinaki Mitra:
  Online identification of generator dynamics in a multimachine power system with a spiking neural network. 1450-1455
  
• Prashant Joshi, Jochen Triesch:
  Rules for information maximization in spiking neurons using intrinsic plasticity. 1456-1461
  
• Quan Ju, Simon O'Keefe, Jim Austin:
  Binary neural network based 3D facial feature localization. 1462-1469
  
• Jun-Fei Qiao, Miao Li, Hong-Gui Han:
  A self-organizing neural network using fast training and pruning. 1470-1475
  
• Shutaro Kabeya, Tohru Abe, Toshimichi Saito:
  A GA-based flexible learning algorithm with error tolerance for digital binary neural networks. 1476-1480
  
• Sukumar Kamalasadan, Gerald D. Swann:
  An intelligent hybrid controller for speed control and stabilization of synchronous generator. 1481-1488
  
• Sukumar Kamalasadan, Gerald D. Swann, Adel A. Ghandakly:
  An intelligent paradigm for electric generator control based on supervisory loops. 1489-1496
  
• Ryotaro Kamimura:
  Selective enhancement learning in competitive learning. 1497-1502
  
• Ryotaro Kamimura:
  Self-enhancement learning: Self-supervised and target-creating learning. 1503-1509
  
• Kesav Kancherla, Srinivas Mukkamala:
  Video steganalysis using motion estimation. 1510-1515
  
• Jeong-Gwan Kang, Su-Yong An, Sunhyo Kim, Se-Young Oh:
  Sonar based Simultaneous Localization and Mapping using a Neuro Evolutionary Optimization. 1516-1523
  
• Bernhard Kaplan, Daniel Brüderle, Johannes Schemmel, Karlheinz Meier:
  High-conductance states on a neuromorphic hardware system. 1524-1530
  
• Vassilios A. Kappatos, George K. Georgoulas, Chrysostomos D. Stylios, Evangelos Dermatas:
  Evolutionary dimensionality reduction for crack localization in ship structures using a hybrid computational intelligent approach. 1531-1538
  
• Eva Kaslik:
  Dynamics of a discrete-time bidirectional ring of neurons with delay. 1539-1546
  
• John Kassab, Santosh Nagaraj:
  Adaptive modulation in an OFDM communications system with artificial neural networks. 1547-1551
  
• Masakazu Kawahara, Takashi Inoue, Yoshifumi Nishio:
  Cellular neural network with dynamic template and its output characteristics. 1552-1558
  
• Yusuke Kawashima, Daisuke Atuti, Kazuki Nakada, Masato Okada, Takashi Morie:
  Coarse image region segmentation using region-and boundary-based coupled MRF models and their PWM VLSI implementation. 1559-1565
  
• Vojislav Kecman, Tao Yang:
  Adaptive Local Hyperplane for regression tasks. 1566-1570
  
• Zahra Khalili, Mohammad Hasan Moradi:
  Emotion recognition system using brain and peripheral signals: Using correlation dimension to improve the results of EEG. 1571-1575
  
• Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
  Constructing prediction intervals for neural network metamodels of complex systems. 1576-1582
  
• Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
  Developing optimal neural network metamodels based on prediction intervals. 1583-1589
  
• Reza Khosrowabadi, Abdul Wahab, Kai Keng Ang, Mohammad H. Baniasad:
  Affective computation on EEG correlates of emotion from musical and vocal stimuli. 1590-1594
  
• Peerapol Khunarsal, Chidchanok Lursinsap, Thanapant Raicharoen:
  Singing voice recognition based on matching of spectrogram pattern. 1595-1599
  
• Andrew Kilinga Kikombo, Tetsuya Asai, Takahide Oya, Alexandre Schmid, Yusuf Leblebici, Yoshihito Amemiya:
  A pulse-density modulation circuit exhibiting noise shaping with single-electron neurons. 1600-1605
  
• Jae-Young Kim, Dong-Chul Park:
  Application of Bhattacharyya kernel-based Centroid Neural Network to the classification of audio signals. 1606-1610
  
• Tae-Hyung Kim, Larry D. Pyeatt, Donald C. Wunsch:
  Reconfigurable disruption tolerant routing via Reinforcement Learning. 1611-1616
  
• Shuhei Kimura, Yuichi Shiraishi, Mariko Hatakeyama:
  Inference of genetic networks using linear programming machines: Application of a priori knowledge. 1617-1624
  
• Irwin King, Jiexing Li, Kam Tong Chan:
  A brief survey of computational approaches in Social Computing. 1625-1632
  
• Mikhail V. Kiselev:
  Self-organized spiking neural network recognizing phase/frequency correlations. 1633-1639
  
• Takuya Kitamura, Shigeo Abe, Kazuhiro Fukui:
  Subspace based least squares support vector machines for pattern classification. 1640-1646
  
• Edgar Koerner:
  Brain-like intelligence inside - Towards autonomously interacting systems. 1647-1648
  
• Ryo Kosaka, Yuko Osana:
  Identification of artifacts in scenery images using color and line information by RBF network. 1649-1654
  
• Hiroshi Koshimizu, Toshimichi Saito:
  Parallel ant colony optimizers with local and global ants. 1655-1659
  
• Boris Kovalerchuk, Leonid I. Perlovsky:
  Fusion and mining spatial data in cyber-physical space with Dynamic Logic of Phenomena. 1660-1667
  
• Vladimir M. Krasnopolsky, Stephen J. Lord, Shrinivas Moorthi, Todd Spindler:
  How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models. 1668-1673
  
• Shigeru Kubota, Tatsuo Kitajima:
  How balance between LTP and LTD can be controlled in spike-timing-dependent learning rule. 1674-1679
  
• Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy:
  Neural network based secure media access control protocol for wireless sensor networks. 1680-1687
  
• Mikael Kuusela, Tapani Raiko, Antti Honkela, Juha Karhunen:
  A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians. 1688-1695
  
• Lucas K. C. Lai, James N. K. Liu:
  A neural network and CBR-based model for Sewing Minute Value. 1696-1701
  
• Man Lan, Yu Xu, Lin Li, Fei Wang, Ying Zuo, Yuan Chen, Chew Lim Tan, Jian Su:
  CpG-discover: A machine learning approach for CpG islands identification from human DNA sequence. 1702-1707
  
• Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
  A constructive enhancement for Online Sequential Extreme Learning Machine. 1708-1713
  
• Valentina Lanza, Fernando Corinto, Marco Gilli:
  Diffusive coupled cyclic negative feedback systems. 1714-1721
  
• Carl Latino, Marco A. Moreno-Armendariz, Martin T. Hagan:
  Realizing general MLP networks with minimal FPGA resources. 1722-1729
  
• Hong Lee, Brijesh Verma:
  Binary Segmentation with Neural Validation for Cursive Handwriting Recognition. 1730-1735
  
• Daniel Leite, Pyramo Costa Jr., Fernando Gomide:
  Evolving granular classification neural networks. 1736-1743
  
• Mauricio U. Leiva, Tomás Vidal Arredondo, Diego Candel, Lioubov Dombrovskaia, Loreine Agulló, Michael Seeger, Félix Vásquez:
  Feed-forward Artificial Neural Network based inference system applied in bioinformatics data-mining. 1744-1749
  
• George G. Lendaris:
  A retrospective on Adaptive Dynamic Programming for control. 1750-1757
  
• Siyu Leng, Wenxin Liu, Il-Yop Chung, David A. Cartes, Chris S. Edrington:
  Design, modeling, and position control of a single-phase reluctance machine. 1758-1763
  
• Sylvain Lespinats, Anke Meyer-Bäse, Frank Steinbrücker, Thomas Schlossbauer:
  Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods. 1764-1770
  
• Daniel S. Levine:
  Executive function, rule selection, and probability judgment. 1771-1776
  
• William B. Levy, Kai S. Chang, Andrew G. Howe:
  Progressively introducing quantified biological complexity into a hippocampal CA3 model. 1777-1783
  
• Boyang Li, Qiangwei Wang, Jinglu Hu:
  A fast SVM training method for very large datasets. 1784-1789
  
• Yongtao Li, Shuhei Kurata, Ryosuke Yoshinaka, Shigetoshi Nara:
  Chaotic dynamics in quasi-layered recurrent neural network model and application to complex control via simple rule. 1790-1796
  
• Sheng-Fu Liang, Chi-Sheng Liu, Wan-Lin Chang, Yu-Hsiang Tsao, Li-Wei Ko, Chin-Teng Lin:
  Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks. 1797-1801
  
• Naiyan Hari Cândido Lima, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
  Creating an ensemble of diverse support vector machines using Adaboost. 1802-1806
  
• Wei-Song Lin, Jih-Wen Sheu:
  Neuro-dynamic programming with recurrent critic for automatic train regulation of metro line. 1807-1813
  
• Xiaofeng Lin, Jiaran Yang, Huixia Liu, Shaojian Song, Chunning Song:
  An improved method of DHP for optimal control in the clarifying process of sugar cane juice. 1814-1819
  
• Ondrej Linda, Milos Manic:
  GNG-SVM framework - classifying large datasets with Support Vector Machines using Growing Neural Gas. 1820-1826
  
• Ondrej Linda, Todd Vollmer, Milos Manic:
  Neural Network based Intrusion Detection System for critical infrastructures. 1827-1834
  
• Ralph Linsker:
  Neural learning of Kalman filtering, Kalman control, and system identification. 1835-1842
  
• Bing Liu, Mingjie Qian:
  A speed-up algorithm for Poisson Propagation. 1843-1848
  
• Derong Liu, Ning Jin:
  Adaptive dynamic programming for discrete-time systems with infinite horizon and ELEMENT OF -error bound in the performance cost. 1849-1854
  
• Jindong Liu, David Perez-Gonzalez, Adrian Rees, Harry R. Erwin, Stefan Wermter:
  A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments. 1855-1862
  
• Yi-Hung Liu, Yan-Chen Liu:
  Reducing the run-time complexity of support vector data descriptions. 1863-1870
  
• Zhiming Liu, Qingchuan Tao:
  Face Recognition using new image representations. 1871-1876
  
• Aleksander Lodwich, Yves Rangoni, Thomas M. Breuel:
  Evaluation of robustness and performance of Early Stopping Rules with Multi Layer Perceptrons. 1877-1884
  
• András Lörincz, Gábor Szirtes:
  Autoregressive model of the hippocampal representation of events. 1885-1892
  
• Xuyang Lou, Ruliang Wang, Baotong Cui:
  Boundedness and stability for the solutions of impulsive neural networks with time-varying delay. 1893-1899
  
• Rita Lovassy, László T. Kóczy, László Gál:
  Function approximation capability of a novel fuzzy flip-flop based neural network. 1900-1907
  
• Christopher T. Lovelace, Reza Derakhshani, Sriram Pavan K. Tankasala, Diane L. Filion:
  Classification of startle eyeblink metrics using neural networks. 1908-1914
  
• Jorge de-J. Lozoya-Santos, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza:
  Design of experiments for MR damper modelling. 1915-1922
  
• Bipul Luitel, Ganesh K. Venayagamoorthy:
  A PSO with quantum infusion algorithm for training Simultaneous Recurrent Neural Networks. 1923-1930
  
• Andrew Luk, Sandra Lien:
  Effects of widely separated clusters on lotto-type competitive learning with particle swarm features. 1931-1938
  
• Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan:
  Neural network disturbance observer based controller of an electrically driven stewart platform using backstepping for active vibration isolation. 1939-1944
  
• Xiaohong Ma, Yan Qin, Hualou Liang:
  A novel audio color watermarking scheme based on self-organizing map. 1945-1952
  
• Sanjeev S. Malalur, Michael T. Manry:
  Feed-forward network training using optimal input gains. 1953-1960
  
• A. G. Malliaris, Mary Malliaris:
  Time series and neural networks comparison on gold, oil and the euro. 1961-1967
  
• Mohsen Malmir, Saeed Shiry:
  Class specific redundancies in natural images: A theory of extrastriate visual processing. 1968-1974
  
• Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi:
  The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems. 1975-1980
  
• Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Mario Versaci, Francesco Carlo Morabito:
  Entropy spatial clustering in epileptic EEG. 1981-1986
  
• Danilo P. Mandic:
  Complex valued recurrent neural networks for noncircular complex signals. 1987-1992
  
• Michail Maniadakis, Jun Tani, Panos E. Trahanias:
  Time perception in shaping cognitive neurodynamics of artificial agents. 1993-2000
  
• Allan de Medeiros Martins, Samaherni M. Dias, Aldayr Dantas de Araújo, Adriao D. D. Neto:
  Soccer robot identification using Kernel based weighted least squares. 2001-2005
  
• Leonardo C. Martinez, Diego N. da Hora, João R. de M. Palotti, Wagner Meira Jr., Gisele L. Pappa:
  From an artificial neural network to a stock market day-trading system: A case study on the BM&F BOVESPA. 2006-2013
  
• David Martínez-Rego, Oscar Fontenla-Romero, Iago Porto-Díaz, Amparo Alonso-Betanzos:
  A new supervised local modelling classifier based on information theory. 2014-2020
  
• Francesco Masulli, Alessandro Parini, Stefano Rovetta, Giuseppe Russo:
  Searching for microRNA prostate cancer target genes. 2021-2026
  
• Yoshitatsu Matsuda, Kazunori Yamaguchi:
  A simple overcomplete ICA algorithm by non-orthogonal pair optimizations. 2027-2031
  
• Toshihiko Matsuka, Hidehito Honda, Sachiko Kiyokawa, Arieta Chouchourelou:
  Modeling high-order human intelligence with intelligence of swarm. 2032-2037
  
• Haruna Matsushita, Yoshifumi Nishio:
  Network-Structured Particle Swarm Optimizer considering neighborhood relationships. 2038-2044
  
• Maciej A. Mazurowski, Georgia D. Tourassi:
  Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy. 2045-2049
  
• Michael McCarron, Mahmood R. Azimi-Sadjadi, Michael Mungiole, David Marlin:
  Rapid acoustic transmission loss prediction using an operationally adaptive system. 2050-2057
  
• Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow:
  Decentralized control of large scale interconnected systems using adaptive neural network-based dynamic surface control. 2058-2064
  
• Stefano Melacci, Marco Maggini, Lorenzo Sarti:
  Semi-supervised clustering using similarity neural networks. 2065-2072
  
• Mauricio Menegaz, Paulo M. Engel:
  Using the GTSOM network for mobile robot navigation with reinforcement learning. 2073-2077
  
• Hongying Meng, Shigang Yue, Andrew Hunter, Kofi Appiah, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit:
  A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature. 2078-2083
  
• Hongying Meng, Kofi Appiah, Andrew Hunter, Shigang Yue, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit:
  A modified sparse distributed memory model for extracting clean patterns from noisy inputs. 2084-2089
  
• Yicong Meng, Bertram Emil Shi:
  Normalized phase shift motion energy neuron populations for image velocity estimation. 2090-2097
  
• Anke Meyer-Bäse, Susanne Cappendijk, Ernst Althaus:
  Global uniform stability analysis of biological networks with different time-scales under perturbations. 2098-2102
  
• Jun Miao, Laiyun Qing, Lijuan Duan, Baixian Zou:
  Single vs. population cell coding: Gaze movement control in target search. 2103-2108
  
• Ali A. Minai, Laxmi R. Iyer, Divyachapan Padur, Simona Doboli:
  A dynamical connectionist model of idea generation. 2109-2116
  
• Georgiy R. Minasyan, John B. Chatten, Richard N. Harner:
  Detection of epileptiform activity in unresponsive patients using ANN. 2117-2124
  
• Fernanda L. Minku, Xin Yao:
  Using diversity to handle concept drift in on-line learning. 2125-2132
  
• Derek Monner, James A. Reggia:
  An unsupervised learning method for representing simple sentences. 2133-2140
  
• Sangwoo Moon, Hairong Qi:
  A hybrid feature extraction framework based on risk minimization and independence maximization. 2141-2144
  
• Jayram Moorkanikara Nageswaran, Nikil Dutt, Jeffrey L. Krichmar, Alex Nicolau, Alexander V. Veidenbaum:
  Efficient simulation of large-scale Spiking Neural Networks using CUDA graphics processors. 2145-2152
  
• Tiago C. Mota, Aantonio Carlos G. Thome:
  One-Against-All-based multiclass SVM strategies applied to vehicle plate character recognition. 2153-2159
  
• Ouael Mouelhi, Pierre Couturier, Tanneguy Redarce:
  A hybrid search algorithm in a multi-agent system environment for multicriteria optimization of products design. 2160-2167
  
• Xiaoyan Mu, Jiangfeng Lu, Paul Watta, Mohamad H. Hassoun:
  Weighted voting-based ensemble classifiers with application to human face recognition and voice recognition. 2168-2171
  
• Martina Mueller, Sarah N. Taylor, Carol L. Wagner, Jonas S. Almeida:
  Using an artificial neural network to predict necrotizing enterocolitis in premature infants. 2172-2175
  
• Cyro Muniz, Karla Figueiredo, Marley Maria Bernardes Rebuzzi Vellasco, Gustavo Chavez, Marco Aurélio Cavalcanti Pacheco:
  Irregularity detection on low tension electric installations by neural network ensembles. 2176-2182
  
• Shigenori Muraoka, Shigeo Abe:
  Sparse support vector regressors based on forward basis selection. 2183-2187
  
• Yi Lu Murphey, ZhiHang Chen, Mahmoud Abou-Nasr, Ryan Baker, Timothy Feldkamp, Ilya V. Kolmanovsky:
  Ensembles of neural networks with generalization capabilities for vehicle fault diagnostics. 2188-2194
  
• Mark H. Myers, Robert Kozma:
  Seizure prediction through dynamic synchronization measures of neural populations. 2195-2201
  
• Jin Hee Na, Myoung Soo Park, Jin Young Choi:
  A new discriminant analysis based on boundary/non-boundary pattern separation. 2202-2208
  
• Susumu Nagatoishi, Osamu Araki:
  Effect of refractoriness on learning performance of a pattern sequence. 2209-2214
  
• D. D. Neema, R. N. Patel, A. S. Thoke:
  Rotor flux and torque estimator for vector controlled induction drive using ANN. 2215-2220
  
• Costas Neocleous, Panagiotis Anastasopoulos, Kypros H. Nikolaides, Christos Schizas, Kleanthis C. Neokleous:
  Neural networks to estimate the risk for preeclampsia occurrence. 2221-2225
  
• Eufrasio de Andrade Lima Neto, Gauss Moutinho Cordeiro, Francisco de Assis Tenório de Carvalho, Ulisses Umbelino dos Anjos, Abner Gomes da Costa:
  Bivariate Generalized Linear Model for Interval-Valued Variables. 2226-2229
  
• Paulo S. G. de Mattos Neto, Gustavo G. Petry, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira:
  Combining Artificial Neural Network and Particle Swarm System for time series forecasting. 2230-2237
  
• Cicero A. M. da Silva Neves, Mauro Roisenberg, Guenther Schwedersky Neto:
  A method to estimate prediction intervals for artificial neural networks that is sensitive to the noise distribution in the outputs. 2238-2242
  
• Chris Newby, Yingjie Yang, Huseyin Seker:
  Investigation into effectiveness of rough sets in prediction of enzyme and protein structure classes. 2243-2249
  
• Yok-Yen Nguwi, Siu-Yeung Cho:
  Support vector self-organizing learning for imbalanced medical data. 2250-2255
  
• Leonardo Nicolosi, Ronald Tetzlaff, Felix Abt, Andreas Blug, Daniel Carl, Heinrich Höfler:
  New CNN based algorithms for the full penetration hole extraction in laser welding processes: Experimental results. 2256-2263
  
• Wataru Niide, Tadashi Tsubone, Yasuhiro Wada:
  Identification of moving limb using near infrared spectroscopic signals for brain activation. 2264-2271
  
• Danko Nikolic:
  Model this! Seven empirical phenomena missing in the models of cortical oscillatory dynamics. 2272-2279
  
• Kyosuke Nishida, Koichiro Yamauchi:
  Learning, detecting, understanding, and predicting concept changes. 2280-2287
  
• David Norton, Dan Ventura:
  Improving the separability of a reservoir facilitates learning transfer. 2288-2293
  
• Marco Aurelio Nuño-Maganda, Miguel Arias-Estrada, Cesar Torres-Huitzil, Bernard Girau:
  Hardware implementation of Spiking Neural Network classifiers based on backpropagation-based learning algorithms. 2294-2301
  
• Eduardo S. Ogasawara, Leonardo Gresta Paulino Murta, Geraldo Zimbrao, Marta Mattoso:
  Neural networks cartridges for data mining on time series. 2302-2309
  
• Ryohei Ohta, Seiichi Ozawa:
  An incremental learning algorithm of Recursive Fisher Linear Discriminant. 2310-2315
  
• Shogo Okada, Toyoaki Nishida:
  Incremental clustering of gesture patterns based on a self organizing incremental neural network. 2316-2322
  
• Olutayo O. Oladunni, Gaurav Singhal:
  Piecewise multi-classification support vector machines. 2323-2330
  
• Diego Marinho de Oliveira, Andre Luis de Oliveira Andrade, Cristiane Neri Nobre, Luis E. Zárate:
  The usage of Artificial Neural Networks in the classification and forecast of potable water consumption. 2331-2338
  
• Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
  Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles. 2339-2346
  
• Renato Oliveira, Paulo J. L. Adeodato, Arthur Carvalho, Icamaan Viegas, Christian Diego, Ing Ren Tsang:
  A data mining approach to solve the goal scoring problem. 2347-2352
  
• Katsuma Ono, Toshimichi Saito:
  Application of particle swarm optimizers to two-objective problems in design of switching inverters. 2353-2357
  
• Takashi Onoda, Norihiko Ito, Hironobu Yamasaki:
  Trouble condition sign discovery based on support vector machines for hydroelectric power plants. 2358-2365
  
• Akira Onoo, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda:
  On automatic generation of VHDL code for self-organizing map. 2366-2373
  
• Sandra Osiceanu, Monica Dascalu, Eduard Franti, Adrian Barbilian:
  Intelligent interfaces for locomotory prosthesis. 2374-2379
  
• Osonde Osoba, Sanya Mitaim, Bart Kosko:
  Adaptive fuzzy priors for Bayesian inference. 2380-2387
  
• Mohamed Oubbati, Wolfgang Holoch, Günther Palm:
  Neural fields for complex behavior generation on autonomous robots. 2388-2393
  
• Seiichi Ozawa, Yuki Kawashima, Shaoning Pang, Nikola Kasabov:
  Adaptive incremental principal component analysis in nonstationary online learning environments. 2394-2400
  
• Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov:
  Curiosity driven incremental LDA agent active learning. 2401-2408
  
• Mikko Pänkäälä, Mika Laiho, Paul Hasler:
  Compact floating-gate learning array with STDP. 2409-2415
  
• Myoung Soo Park, Jin Young Choi:
  A new discriminant analysis for non-normally distributed data based on datawise formulation of scatter matrices. 2416-2422
  
• Ashok Patel, Bart Kosko:
  Neural signal-detection noise benefits based on error probability. 2423-2430
  
• Jagdish Chandra Patra, Nguyen C. Thanh, Pramod Kumar Meher:
  Computationally efficient FLANN-based intelligent stock price prediction system. 2431-2438
  
• Jagdish Chandra Patra, Cédric Bornand, Goutam Chakraborty:
  Hermite neural network-based intelligent sensors for harsh environments. 2439-2444
  
• Daniel Pavelec, Luiz S. Oliveira, Edson J. R. Justino, Francisco D. Nobre Neto, Leonardo Vidal Batista:
  Compression and stylometry for author identification. 2445-2450
  
• Athanasios Pavlou, Matthew C. Casey:
  A computational platform for visual fear conditioning. 2451-2458
  
• Giovanni Egidio Pazienza, Eduardo Gómez-Ramírez:
  New properties of 2D Cellular Automata found through Polynomial Cellular Neural Networks. 2459-2466
  
• Fernando Agustin Pazos, Amit Bhaya, Eugenius Kaszkurewicz:
  Unified control Liapunov function based design of neural networks that aim at global minimization of nonconvex functions. 2467-2474
  
• Helton Maia Peixoto, Ana M. G. Guerreiro, Adriao D. D. Neto:
  Image processing for eye detection and classification of the gaze direction. 2475-2480
  
• Jose Francisco Pereira, George D. C. Cavalcanti, Ing Ren Tsang:
  Modular Image Principal Component Analysis for face recognition. 2481-2486
  
• Christian de Peretti, Carole Siani, Mario Cerrato:
  An artificial neural network based heterogeneous panel unit root test in case of cross sectional independence. 2487-2493
  
• Martha O. Perez-Arriaga, Thomas P. Caudell:
  A study of brain structure evolution in simple embodied neural agents using genetic algorithms and category theory. 2494-2500
  
• Leonid I. Perlovsky:
  Emotions, language, and Sapir-Whorf hypothesis. 2501-2508
  
• Subramoniam Perumal, Ali A. Minai:
  Stable-yet-switchable (SyS) attractor networks. 2509-2516
  
• Leif E. Peterson, Sameer Ather, Vijay Divakaran, Anita Deswal, B. Bozkurt, Douglas L. Mann:
  Improved propensity matching for heart failure using neural gas and self-organizing maps. 2517-2524
  
• Stefan Philipp, Johannes Schemmel, Karlheinz Meier:
  A QoS network architecture to interconnect large-scale VLSI neural networks. 2525-2532
  
• Marco Piastra:
  A growing self-organizing network for reconstructing curves and surfaces. 2533-2540
  
• Filip Piekniewski:
  Robustness of power laws in degree distributions for spiking neural networks. 2541-2546
  
• Glauber M. Pires, Aluizio F. R. Araújo:
  A stochastic neural model for fast classification of binary images. 2547-2552
  
• Arjpolson Pukrittayakamee, Martin Hagan, Lionel Raff, Satish T. S. Bukkapatnam, Ranga Komanduri:
  A network pruning algorithm for combined function and derivative approximation. 2553-2560
  
• Mullur Pushpalatha, Niranjan Nalini:
  A compact network with improved generalization using wavelet basis function network for static non-linear functions. 2561-2565
  
• Mengyu Qiao, Andrew H. Sung, Qingzhong Liu:
  Steganalysis of MP3Stego. 2566-2571
  
• Wei Qiao:
  Echo-state-network-based real-time wind speed estimation for wind power generation. 2572-2579
  
• Jon T. S. Quah, Luo-Ren Lim:
  Neural network based admission controller for proximity aware mobile services. 2580-2587
  
• Jon T. S. Quah, Luo-Ren Lim, Hendri Budi, Kim-Teng Lua:
  Towards automated assessment of engineering assignments. 2588-2595
  
• Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang:
  An oscillatory correlation model of object-based attention. 2596-2602
  
• A. Ravishankar Rao, Guillermo A. Cecchi:
  An optimization approach to understanding structure-function relationships in the visual cortex. 2603-2610
  
• Alexander D. Rast, Mukaram M. Khan, Xin Jin, Luis A. Plana, Steve Furber:
  A universal abstract-time platform for real-time neural networks. 2611-2618
  
• Alexander D. Rast, Stephen R. Welbourne, Xin Jin, Steve Furber:
  Optimal connectivity in hardware-targetted MLP networks. 2619-2626
  
• Sekou Remy, Chung Hyuk Park, Ayanna M. Howard:
  Improving the performance of ANN training with an unsupervised filtering method. 2627-2633
  
• Yong Ren, Keith Anderson, Khan M. Iftekharuddin, Paul Kim, William E. White:
  Pose invariant face recognition using Cellular Simultaneous Recurrent Networks. 2634-2641
  
• Germano Resconi, Chu Kiong Loo, Nuo Wi Noel Tay:
  Quantum Morphogenetic System in image recognition. 2642-2648
  
• Germano Resconi, Boris Kovalerchuk:
  Agents in neural uncertainty. 2649-2656
  
• Alexander M. Reznik, Dmitry A. Dziuba:
  Dynamic associative memory, based on open recurrent neural network. 2657-2663
  
• Anna Izabel J. Tostes Ribeiro, Luis E. Zárate, Fatima de L. P. Duarte-Figueiredo:
  A representative validation of a neural 3G admission control through rules extraction. 2664-2670
  
• Emily Richardson, Yingjie Yang, John Hall:
  A novel meta database for relationships between Bioinformatics databases. 2671-2677
  
• Pablo Rivas-Perea, José-Gerardo Rosiles, Wei Qian:
  Self organizing maps for class discovery in the quantitative colocalization analysis feature space. 2678-2684
  
• Daniel Rivero, Julian Dorado, Juan R. Rabuñal, Alejandro Pazos:
  Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison. 2685-2692
  
• Paul Robinette, John Seiffertt, Ryan J. Meuth, Ryanne Dolan, Donald C. Wunsch:
  An Agent-Based computational model of a self-organizing project management paradigm for research teams. 2693-2698
  
• Lia C. Rodrigues, Clodoaldo Ap. M. Lima, Pollyana N. Mustaro:
  Clustering online game communities through SOM. 2699-2702
  
• L. J. Aranildo Rodrigues, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira:
  A prime step in the time series forecasting with hybrid methods: The fitness function choice. 2703-2710
  
• Florian Röhrbein, Julian Eggert, Edgar Körner:
  Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks. 2711-2716
  
• Fabio Ruini, Angelo Cangelosi, Franck Zetule:
  Individual and cooperative tasks performed by autonomous MAV Teams driven by embodied neural network controllers. 2717-2724
  
• Steele A. Russell, Anthony S. Maida:
  Performance of generalized multi-layered perceptrons and layered arbitrarily connected networks trained using the Levenberg-Marquardt method. 2725-2731
  
• Leszek Rybicki, Yuuya Sugita, Jun Tani:
  Reinforcement learning of multiple tasks using parametric bias. 2732-2739
  
• Sohrab Saeb, Cornelius Weber, Jochen Triesch:
  A neural model for the adaptive control of saccadic eye movements. 2740-2747
  
• Ken Saito, Katsutoshi Saeki, Yoshifumi Sekine:
  Synchronization of coupled pulse-type hardware neuron models for CPG model. 2748-2755
  
• Ruben Salazar-Mendoza, Guillermo Jimenez de la Cruz, José Antonio Ruz Hernández:
  Neural networks versus Linear and Sequential Programming for Gas Lift Optimization in a two oil wells system. 2756-2763
  
• Ivan Salgado, Isaac Chairez:
  Discrete time recurrent neural network observer. 2764-2770
  
• Utku Salihoglu, Hugues Bersini, Yoko Yamaguchi, Colin Molter:
  Online organization of chaotic cell assemblies. A model for the cognitive map formation? 2771-2777
  
• Edgar N. Sanchez, Alexander G. Loukianov, Riemann Ruiz:
  Neural network identification of a double fed induction generator prototype. 2778-2783
  
• Laura Emmanuella A. Santana, Ligia Silva, Anne M. P. Canuto:
  Feature selection in heterogeneous structure of ensembles: A genetic algorithm approach. 2784-2791
  
• Enock T. Santos, Luis E. Zárate, Elizabeth Marques Duarte Pereira:
  Climatic data neural representation for large territorial extensions: Case study for the State of Minas Gerais. 2792-2797
  
• Joao Paulo Queiroz dos Santos, Francisco Chagas de Lima, Rafael Marrocos Magalhães, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
  A parallel hybrid implementation using genetic algorithm, GRASP and reinforcement learning. 2798-2803
  
• Wellington P. dos Santos, Francisco M. de Assis:
  Optimization based on dialectics. 2804-2811
  
• Masatoshi Sato, Hisashi Aomori, Mamoru Tanaka:
  Nonlinear synaptic Neural Network for Maximum Flow problems. 2812-2818
  
• Ramaswamy Savitha, Sundaram Suresh, Narasimhan Sundararajan:
  Complex-valued function approximation using a Fully Complex-valued RBF (FC-RBF) learning algorithm. 2819-2825
  
• Salam Sawadogo, Julien Brajard, Awa Niang, Cyril Lathuiliere, Michel Creéon, Sylvie Thiria:
  Analysis of the Senegalo-Mauritanian upwelling by processing satellite remote sensing observations with topological maps. 2826-2832
  
• Stefan Schliebs, Michael Defoin-Platel, Susan P. Worner, Nikola Kasabov:
  Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling. 2833-2840
  
• Mauro Schneider, Pollyana N. Mustaro, Clodoaldo Ap. M. Lima:
  Automatic recognition of epileptic seizure in EEG via support vector machine and dimension fractal. 2841-2845
  
• Hans Georg Seedig, Ralph Grothmann, Thomas A. Runkler:
  Forecasting of clustered time series with recurrent neural networks and a fuzzy clustering scheme. 2846-2853
  
• John Seiffertt:
  An alpha derivative formulation of the Hamilton-Jacobi-Bellman equation Of Dynamic Programming. 2854-2859
  
• John Seiffertt, Samuel A. Mulder, Rohit Dua, Donald C. Wunsch:
  Neural networks and Markov models for the iterated prisoner's dilemma. 2860-2866
  
• Basabdatta Sen Bhattacharya, Steve Furber:
  Evaluating rank-order code performance using a biologically-derived retinal model. 2867-2874
  
• Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
  An efficient active set method for SVM training without singular inner problems. 2875-2882
  
• Sohan Seth, José Carlos Príncipe:
  On speeding up computation in information theoretic learning. 2883-2887
  
• Anthony Setiawan, Irena Koprinska, Vassilios G. Agelidis:
  Very short-term electricity load demand forecasting using support vector regression. 2888-2894
  
• Jesse Sherwood, Reza Derakhshani:
  On classifiability of wavelet features for EEG-based brain-computer interfaces. 2895-2902
  
• Ming-Guang Shi, Min Wu, De-Shuang Huang, Xueling Li:
  Inferring Protein Interactions from Sequence using Support Vector Machine. 2903-2907
  
• Weiya Shi, Yue-Fei Guo, Xiangyang Xue:
  Matrix-based Kernel Principal Component analysis for large-scale data set. 2908-2913
  
• Xiaohu Shi, Renchu Guan, Liupu Wang, Zhili Pei, Yanchun Liang:
  An incremental affinity propagation algorithm and its applications for text clustering. 2914-2919
  
• Nils T. Siebel, Jonas Botel, Gerald Sommer:
  Efficient neural network pruning during neuro-evolution. 2920-2927
  
• Michael Baskara L. A. Siek, Dimitri P. Solomatine:
  Chaotic model with data assimilation using NARX network. 2928-2935
  
• Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel:
  Clustering of symbolic data using the assignment-prototype algorithm. 2936-2942
  
• Renato R. da Silva, Claudio A. Policastro, Roseli A. F. Romero:
  Relational reinforcement learning applied to shared attention. 2943-2949
  
• Abhishek Singh, José Carlos Príncipe:
  Using Correntropy as a cost function in linear adaptive filters. 2950-2955
  
• Koen Smets, Brigitte Verdonk, Elsa M. Jordaan:
  Discovering novelty in spatio/temporal data using one-class support vector machines. 2956-2963
  
• Tomasz G. Smolinski, Astrid A. Prinz:
  Computational intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuron. 2964-2970
  
• Qing Song, Yeng Chai Soh, Lei Zhao:
  A robust extended Elman backpropagation algorithm. 2971-2978
  
• Emilio Soria-Olivas, José David Martín-Guerrero, J. Caravaca, Antonio J. Serrano, Marcelino Martínez-Sober, Rafael Magdalena, Juan Gómez, Magdalena Heras, Gines Sanz:
  Survival prediction in patients undergoing ischemic cardiopathy. 2979-2982
  
• Georgina Stegmayer, Diego H. Milone, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari:
  Neural network model for integration and visualization of introgressed genome and metabolite data. 2983-2989
  
• Luis A. Paz Suarez, Petia Georgieva, Sebastião Feyo de Azevedo:
  Computationally efficient process control with neural networkbased predictive models. 2990-2997
  
• Changyin Sun, Chenghong Wang, Su Song, Yifan Wang:
  A local approach of adaptive affinity propagation clustering for large scale data. 2998-3002
  
• Jiabao Sun, Jagdish Chandra Patra, Yongjin Li:
  Functional Link Artificial Neural Network-based disease gene prediction. 3003-3010
  
• Ron Sun, Isaac Naveh:
  Cognitive simulation of academic science. 3011-3017
  
• Tsung-Ying Sun, Ming-Chin Yang, Shang-Jeng Tsai, Jyun-Sian He:
  Adaptive neural network controller for the flush material Belt Weigh Feeder. 3018-3023
  
• Peter Sussner, Estevão Laureano Esmi:
  An introduction to morphological perceptrons with competitive learning. 3024-3031
  
• Douglas P. Sutton, Martin C. Carlisle, Traci A. Sarmiento, Leemon C. Baird III:
  Partitioned neural networks. 3032-3037
  
• Zoltán Szabó, András Lörincz:
  Controlled Complete ARMA Independent Process Analysis. 3038-3045
  
• Tarek M. Taha, Pavan Yalamanchili, Mohammad A. Bhuiyan, Rommel Jalasutram, Sumod K. Mohan:
  Parallelizing two classes of neuromorphic models on the Cell multicore architecture. 3046-3053
  
• Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse:
  Long-term prediction of time series by combining direct and MIMO strategies. 3054-3061
  
• Haruhiko Takase, Masaru Fujita, Hiroharu Kawanaka, Shinji Tsuruoka, Hidehiko Kita, Terumine Hayashi:
  Obstacle to training SpikeProp networks - Cause of surges in training process -. 3062-3066
  
• Syogo Takeuchi, Takuya Kitamura, Shigeo Abe, Kazuhiro Fukui:
  Subspace based linear programming support vector machines. 3067-3073
  
• Yuuki Taki, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda:
  Hand sign recognition system based on hybrid network classifier. 3074-3081
  
• Tatiana Tambouratzis, Imre Pázsit:
  General regression artificial neural networks for two-phase flow regime identification. 3082-3087
  
• Ying Tan, Chao Deng, Guangchen Ruan:
  Concentration based feature construction approach for spam detection. 3088-3093
  
• Sirinart Tangruamsub, Manabu Tsuboyama, Aram Kawewong, Osamu Hasegawa:
  Mobile robot vision-based navigation using self-organizing and incremental neural networks. 3094-3101
  
• John G. Taylor:
  Can consciousness ever be modelled? 3102-3103
  
• John G. Taylor, Matthew Hartley:
  Neural architectures for thinking, reasoning and being conscious. 3104-3110
  
• Shawn E. Taylor, Michael L. Bernard, Stephen J. Verzi, James D. Morrow, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell:
  Temporal semantics: An Adaptive Resonance Theory approach. 3111-3117
  
• Jan-Phillip Tiesel, Aanthony S. Maida:
  Using parallel GPU architecture for simulation of planar I/F networks. 3118-3123
  
• Naoki Tominaga, Qiangfu Zhao:
  Fast structural learning of distance-based neural networks. 3124-3131
  
• Hiroyuki Torikai, Toru Nishigami:
  A novel chaotic spiking neuron and its paralleled spike encoding function. 3132-3139
  
• Edmondo Trentin, Antonino Freno:
  Unsupervised nonparametric density estimation: A neural network approach. 3140-3147
  
• Rua-Huan Tsaih, Hsiou-Wei Lin:
  Knowledge-internalization process for neural-networks practitioners. 3148-3155
  
• Nugraha P. Utama, Atsushi Takemoto, Katsuki Nakamura, Yasuharu Koike:
  Single-trial EEG data to classify type and intensity of facial emotion from P100 and N170. 3156-3163
  
• Guido Vagliasindi, Paolo Arena, Andrea Murari:
  CART data analysis to attain interpretability in a Fuzzy Logic Classifier. 3164-3171
  
• Julio J. Valdés, Antonio Pou:
  Climatic variation of the structure of maximum daily temperatures in Spain: A combined statistical and computational intelligence approach. 3172-3179
  
• Kyriakos G. Vamvoudakis, Frank L. Lewis:
  Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem. 3180-3187
  
• Vladimir Vapnik, Akshay Vashist, Natalya Pavlovitch:
  Learning using hidden information (Learning with teacher). 3188-3195
  
• Roberto Antonio Vázquez, Humberto Sossa:
  Morphological auto-associative memories applied to true-color image patterns. 3196-3203
  
• Naresh N. Vempala, Anthony S. Maida:
  Modeling melody recognition using a sequence recognition neural network with meta-level processes. 3204-3211
  
• Mario Ventresca, Hamid R. Tizhoosh:
  Improving gradient-based learning algorithms for large scale feedforward networks. 3212-3219
  
• Brijesh Verma:
  Impact of multiple clusters on neural classification of ROIs in digital mammograms. 3220-3223
  
• Draguna Vrabie, Frank L. Lewis:
  Generalized Policy Iteration for continuous-time systems. 3224-3231
  
• Neil Wachowski, Mahmood R. Azimi-Sadjadi:
  A likelihood-based decision feedback system for multi-aspect classification of underwater targets. 3232-3239
  
• Jinhui Wang, Wuchen Wu, Na Gong, Lei Zuo, Ligang Hou, Shuqin Geng, Wang Zhang, Daming Gao:
  Switching and leakage power modeling for multiple-supply dynamic gate with delay constraining based on wavelet neural networks. 3240-3243
  
• Lili Wang, Wenlian Lu, Tianping Chen:
  Delayed neural networks with multistable almost periodic solutions. 3244-3250
  
• Shijun Wang, Ronald M. Summers, Changshui Zhang:
  A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography. 3251-3258
  
• Shuo Wang, Ke Tang, Xin Yao:
  Diversity exploration and negative correlation learning on imbalanced data sets. 3259-3266
  
• Xiaoxia Wang, Peter Tiño, Mark A. Fardal, Somak Raychaudhury, Arif Babul:
  Fast parzen window density estimator. 3267-3274
  
• Yiwen Wang, Justin C. Sanchez, José Carlos Príncipe:
  Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces. 3275-3280
  
• Yu-Chiang Frank Wang, David Casasent:
  A support vector hierarchical method for multi-class classification and rejection. 3281-3288
  
• Zhisong Wang, Nikos K. Logothetis, Hualou Liang:
  Percept-related cortical induced activity during bistable perception. 3289-3296
  
• Zhuang Wang, Slobodan Vucetic:
  Tighter Perceptron with improved dual use of cached data for model representation and validation. 3297-3302
  
• Shesharao M. Wanjerkhede, Raju S. Bapi:
  A Computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32. 3303-3310
  
• Naoki Watanabe, Kazuhiko Fukami, Hitoki Imamura, Katsuki Sonoda, Soichiro Yamane:
  Flood forecasting technology with radar-derived rainfall data using Genetic Programming. 3311-3318
  
• Cornelius Weber, Jochen Triesch:
  Goal-directed feature learning. 3319-3326
  
• Daniel Weiler, Florian Röhrbein, Julian Eggert:
  Level-set segmentation with contour based object representation. 3327-3334
  
• Richard L. Welch, Stephen M. Ruffing, Ganesh K. Venayagamoorthy:
  Comparison of feedforward and feedback neural network architectures for short term wind speed prediction. 3335-3340
  
• Qinghua Wen, Zehong Yang, Yixu Song, Peifa Jia:
  Intelligent stock trading system based on SVM algorithm and oscillation box prediction. 3341-3347
  
• Juyang Weng, Yi Shen, Mingmin Chi, Xiangyang Xue:
  Temporal context as cortical spatial codes. 3348-3355
  
• Paul J. Werbos:
  Putting more brain-like intelligence into the electric power grid: What we need and how to do it. 3356-3359
  
• Timothy Whitacre, Xiao-Hua Yu:
  A neural network receiver for EM-MWD baseband communication systems. 3360-3364
  
• Bernard Widrow, M. Etemadi:
  Cognitive memory: Human and machine. 3365-3372
  
• Peter Wittek, Chew Lim Tan:
  A kernel-based feature weighting for text classification. 3373-3379
  
• Donald C. Wunsch:
  ART properties of interest in engineering applications. 3380-3383
  
• Songyun Xie, Rong Guo, Ning-fei Li, Ge Wang, Hai-tao Zhao:
  Brain fMRI processing and classification based on combination of PCA and SVM. 3384-3389
  
• Rui Xu, Luis du Plessis, Steven Damelin, Michael Sears, Donald C. Wunsch:
  Analysis of hyperspectral data with diffusion maps and Fuzzy ART. 3390-3397
  
• Rui Xu, Jie Xu, Donald C. Wunsch:
  Using default ARTMAP for cancer classification with MicroRNA expression signatures. 3398-3404
  
• Xu Xu, Yanchun Liang:
  Effects of the short-cut connection on the dynamics of a delayed ring neural network. 3405-3411
  
• Peyman Yadmellat, Heidar Ali Talebi:
  An observer-based neural networks control scheme for nonlinear systems. 3412-3419
  
• Weizhong Yan, Hai Qiu, Ya Xue:
  Gaussian process for long-term time-series forecasting. 3420-3427
  
• Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung:
  A Neural Network pruning approach based on Compressive Sampling. 3428-3435
  
• Yi Yang, Ronald G. Harley, Deepak Divan, Thomas G. Habetler:
  Overhead conductor thermal dynamics identification by using Echo State Networks. 3436-3443
  
• Yuichi Yano, Yuko Osana:
  Chaotic Complex-Valued Bidirectional Associative Memory. 3444-3449
  
• Chun Wan Yeung, F. H. Frank Leung, Kit Yan Chan, Sai-Ho Ling:
  An integrated approach of particle swarm optimization and support vector machine for gene signature selection and cancer prediction. 3450-3456
  
• Arthur Steven Younger, Emmett Redd:
  Fixed-Weight learning Neural Networks on Optical Hardware. 3457-3463
  
• Wen Yu, Xiaoou Li:
  Neural sliding mode control with finite time convergence. 3464-3470
  
• Jiangye Yuan, DeLiang Wang, Bo Wu, Lin Yan, Rongxing Li:
  Automatic road extraction from satellite imagery using LEGION networks. 3471-3476
  
• Yuan Yuan, Chenhui Yang, Jennie Si:
  An advanced spike detection and sorting system. 3477-3484
  
• Zarita Zainuddin, Pauline Ong:
  Improved wavelet neural network for early diagnosis of cancer patients using microarray gene expression data. 3485-3492
  
• Anahita Zarei, Michael Hairfield, Seyedsalahadin Mirsaeidghazi:
  A Novel neuro-fuzzy assessment index for orthodontics. 3493-3497
  
• Shuqing Zeng, Yanhua Chen:
  Joint tracking-registration with linear complexity: An application to range sensors. 3498-3503
  
• Zhigang Zeng, Jun Wang:
  Analysis and design of associative memories based on cellular neural networks with space-invariant cloning templates. 3504-3511
  
• Zhigang Zeng, Jun Wang:
  Analysis and synthesis of associative memories based on Brain-State-in-a-Box neural networks. 3512-3519
  
• Haizhang Zhang, Yuesheng Xu, Jun Zhang:
  Reproducing kernel Banach spaces for machine learning. 3520-3527
  
• Jun Zhang, Jinglu Hu:
  An automatic segmentation technique for color images based on SOFM neural network. 3528-3533
  
• Wen-Ran Zhang:
  YinYang bipolar dynamic logic (BDL) and equilibrium-based computational neuroscience. 3534-3541
  
• Chun-Hou Zheng, Ping Zhang, Lei Zhang, Xin-Xin Liu, Ju Han:
  Gene expression data classification based on non-negative matrix factorization. 3542-3547
  
• Weicai Zhong, Bijan Raahemi, Jing Liu:
  Learning on Class Imbalanced Data to Classify Peer-to-Peer Applications in IP Traffic using Resampling Techniques. 3548-3554
  
• Wei Zhou, Jacek M. Zurada:
  A class of discrete-time recurrent neural networks with multivalued neurons. 3555-3558
  
• Yuhua Zhu, Xiuwen Liu, Washington Mio:
  Image retrieval based on intrinsic spectral histogram representation. 3559-3564
  
• Yuhua Zhu, Washington Mio, Xiuwen Liu:
  Optimal dimension reduction for image retrieval with correlation metrics. 3565-3570