Neurocomputing, Volume 72

Volume 72, Numbers 1-3, December 2008

• Marc M. Van Hulle, Jan Larsen:
  Machine Learning for Signal Processing. 1-2
  
• Carlos Renjifo, David Barsic, Craig Carmen, Kevin Norman, G. Scott Peacock:
  Improving radial basis function kernel classification through incremental learning and automatic parameter selection. 3-14
  
• James D. B. Nelson, Robert I. Damper, Steve R. Gunn, Baofeng Guo:
  Signal theory for SVM kernel design with applications to parameter estimation and sequence kernels. 15-22
  
• Robert Jenssen, Torbjørn Eltoft:
  A new information theoretic analysis of sum-of-squared-error kernel clustering. 23-31
  
• Markus Harva, Somak Raychaudhury:
  Bayesian estimation of time delays between unevenly sampled signals. 32-38
  
• Arto Klami, Samuel Kaski:
  Probabilistic approach to detecting dependencies between data sets. 39-46
  
• John Aldo Lee, Frédéric Vrins, Michel Verleysen:
  Blind source separation based on endpoint estimation with application to the MLSP 2006 data competition. 47-56
  
• Mariana S. C. Almeida, Luis B. Almeida:
  Wavelet-based separation of nonlinear show-through and bleed-through image mixtures. 57-70
  
• Mohammad H. Radfar, Richard M. Dansereau, Abolghasem Sayadiyan:
  Speaker-independent model-based single channel speech separation. 71-78
  
• Emmanuel Vincent, Mark D. Plumbley:
  Efficient Bayesian inference for harmonic models via adaptive posterior factorization. 79-87
  
• Paul D. O'Grady, Barak A. Pearlmutter:
  Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint. 88-101
  
• Kyu-Hwa Jeong, Jose C. Principe:
  Enhancing the correntropy MACE filter with random projections. 102-111
  
• Stephen J. Redmond, Conor Heneghan, Kenneth E. Hild II, Srikantan S. Nagarajan:
  Denoising of magnetoencephalographic data using spatial averaging. 112-118
  
• David J. Miller, Siddharth Pal, Yue Joseph Wang:
  Extensions of transductive learning for distributed ensemble classification and application to biometric authentication. 119-125
  
• Kang Li, Xia Hong, George W. Irwin:
  Life System Modelling, Simulation, and Bio-inspired Computing (LSMS 2007). 126-127
  
• Kai-Yang Li, Yong-Gang Dong, Cheng Chen, Shao-Ping Zhang:
  The noninvasive reconstruction of 3D temperature field in a biological body with Monte Carlo method. 128-133
  
• Rui-Sheng Wang, Shi-Hua Zhang, Yong Wang, Xiang-Sun Zhang, Luonan Chen:
  Clustering complex networks and biological networks by nonnegative matrix factorization with various similarity measures. 134-141
  
• Ben Niu, Y. L. Zhu, Xiaoxian He, Hai Shen, Q. H. Wu:
  A lifecycle model for simulating bacterial evolution. 142-148
  
• Maoguo Gong, Licheng Jiao, Xiangrong Zhang:
  A population-based artificial immune system for numerical optimization. 149-161
  
• Hong-Bin Sun, Li-Hong Ren, Yong-Sheng Ding:
  Evolutionary stability affected by energy flow in the bio-network architecture. 162-169
  
• Jian Fan, Yang Song, Minrui Fei:
  ART2 neural network interacting with environment. 170-176
  
• Jiangsheng Yu, Fei Cheng, Huilin Xiong, Wanling Qu, Xue-wen Chen:
  A Bayesian approach to support vector machines for the binary classification. 177-185
  
• Lingling Tian, Donghai Li, Xianfang Sun:
  Nonlinear-estimator-based robust synchronization of Hodgkin-Huxley neurons. 186-196
  
• Lisheng Wei, Minrui Fei, Huosheng Hu:
  Modeling and stability analysis of grey-fuzzy predictive control. 197-202
  
• L. Yang, B. L. Guo, W. Ni:
  Multimodality medical image fusion based on multiscale geometric analysis of contourlet transform. 203-211
  
• Chong Lu, Wanquan Liu, Senjian An:
  A simplified GLRAM algorithm for face recognition. 212-217
  
• Chan-Yun Yang:
  Highlighting heterogeneous samples to support vector machines' training. 218-230
  
• Kelin Li, Qiankun Song:
  Exponential stability of impulsive Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms. 231-240
  
• Maciej Szaleniec, Ryszard Tadeusiewicz, Malgorzata Witko:
  How to select an optimal neural model of chemical reactivity? 241-256
  
• John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng:
  Kernel regression networks with local structural information and covariance volume adaptation. 257-261
  
• Guoren Wang, Yi Zhao, Di Wang:
  A protein secondary structure prediction framework based on the Extreme Learning Machine. 262-268
  
• Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis Glavas:
  Neural network construction and training using grammatical evolution. 269-277
  
• Hong Chang, Zuren Feng, Xiaoliang Wei:
  Object recognition and tracking with maximum likelihood bidirectional associative memory networks. 278-292
  
• Koray Karahaliloglu, Patrick Gans, Nathan Schemm, Sina Balkir:
  Pixel sensor integrated neuromorphic VLSI system for real-time applications. 293-301
  
• Wang-Qiang Niu, Jing-Qi Yuan:
  A multi-subunit spatiotemporal model of local edge detector cells in the cat retina. 302-312
  
• Lei Gu, Hui-Zhong Wu:
  A kernel-based fuzzy greedy multiple hyperspheres covering algorithm for pattern classification. 313-320
  
• Baoyong Zhang, Shengyuan Xu, Yun Zou:
  Improved delay-dependent exponential stability criteria for discrete-time recurrent neural networks with time-varying delays. 321-330
  
• Yi-Chung Hu:
  Nonadditive grey single-layer perceptron with Choquet integral for pattern classification problems using genetic algorithms. 331-340
  
• Lixia Duan, Qishao Lu, Qinyun Wang:
  Two-parameter bifurcation analysis of firing activities in the Chay neuronal model. 341-351
  
• Jianguo Wang, Wankou Yang, Yusheng Lin, Jingyu Yang:
  Two-directional maximum scatter difference discriminant analysis for face recognition. 352-358
  
• Hai-Jun Rong, Yew-Soon Ong, Ah-Hwee Tan, Zexuan Zhu:
  A fast pruned-extreme learning machine for classification problem. 359-366
  
• Shuyuan Yang, Min Wang, Licheng Jiao:
  Incremental constructive ridgelet neural network. 367-377
  
• Xinbo Gao, Wen Lu, Xuelong Li, Dacheng Tao:
  Wavelet-based contourlet in quality evaluation of digital images. 378-385
  
• Baotong Cui, Wei Wu:
  Global exponential stability of Cohen-Grossberg neural networks with distributed delays. 386-391
  
• Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Cournède:
  Structural identifiability of generalized constraint neural network models for nonlinear regression. 392-400
  
• Chia-Yu Yen, Krzysztof J. Cios:
  Image recognition system based on novel measures of image similarity and cluster validity. 401-412
  
• Hong Qu, Zhang Yi, XiaoBin Wang:
  Switching analysis of 2-D neural networks with nonsaturating linear threshold transfer functions. 413-419
  
• Witold Pedrycz, Ho-Sung Park, Sung-Kwun Oh:
  A granular-oriented development of functional radial basis function neural networks. 420-435
  
• Ling Chen, Hongyong Zhao:
  Stability analysis of stochastic fuzzy cellular neural networks with delays. 436-444
  
• Jun-e Feng, Shengyuan Xu:
  New criteria on global robust stability of Cohen-Grossberg neural networks with time-varying delays. 445-457
  
• L. Ma, Abdul Wahab, Geok See Ng, Sevki S. Erdogan:
  An experimental study of the extended NRBF regression model and its enhancement for classification problem. 458-470
  
• Min Han, Jia Yin:
  The hidden neurons selection of the wavelet networks using support vector machines and ridge regression. 471-479
  
• Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella:
  A support vector machine with integer parameters. 480-489
  
• Shan Liu, Yongji Wang, Quanmin Zhu:
  Development of a new EDRNN procedure in control of human arm trajectories. 490-499
  
• Shu-Kai S. Fan, Yen Lin, Chia-Chan Wu:
  Image thresholding using a novel estimation method in generalized Gaussian distribution mixture modeling. 500-512
  
• C. Zhang, W. Wu, X. H. Chen, Y. Xiong:
  Convergence of BP algorithm for product unit neural networks with exponential weights. 513-520
  
• Jie Liu, Jack Xin, Yingyong Qi:
  A dynamic algorithm for blind separation of convolutive sound mixtures. 521-532
  
• Huaxiang Zhang, Ying Fan:
  An adaptive policy gradient in learning Nash equilibria. 533-538
  
• Eloy Irigoyen, Miguel Pinzolas:
  Numerical bounds to assure initial local stability of NARX multilayer perceptrons and radial basis functions. 539-547
  
• Francisco J. Martínez-Estudillo, César Hervás-Martínez, Pedro Antonio Gutiérrez, Alfonso C. Martínez-Estudillo:
  Evolutionary product-unit neural networks classifiers. 548-561
  
• Minh Nhut Nguyen, Daming Shi, Jiacai Fu:
  An online Bayesian Ying-Yang learning applied to fuzzy CMAC. 562-572
  
• Dong Huang, Zhang Yi:
  Shape recovery by a generalized topology preserving SOM. 573-580
  
• Panchi Li, Shiyong Li:
  Quantum-inspired evolutionary algorithm for continuous space optimization based on Bloch coordinates of qubits. 581-591
  
• Horatiu Voicu:
  The cerebellum: An incomplete multilayer perceptron? 592-599
  
• Wenwu He, Zhizhong Wang, Hui Jiang:
  Model optimizing and feature selecting for support vector regression in time series forecasting. 600-611
  
• Chinson Yeh, Chen-Liang Lin, Ming-Ting Wu, Chen-Wen Yen, Jen-Feng Wang:
  A neural network-based diagnostic method for solitary pulmonary nodules. 612-624
  
• Dipti Srinivasan:
  Energy demand prediction using GMDH networks. 625-629
  
• Wentao Huang, Licheng Jiao, Jianhua Jia:
  Population stochastic dynamics for synaptic depression. 630-635
  
• Jong-Hwan Lee, Sang-Hoon Oh, Soo-Young Lee:
  Binaural semi-blind dereverberation of noisy convoluted speech signals. 636-642
  
• Shaoshuai Mou, Huijun Gao, Wenyi Qiang, Zhongyang Fei:
  State estimation for discrete-time neural networks with time-varying delays. 643-647
  
• Na Li, Chun Chen, Qiang Wang, Mingli Song, Dacheng Tao, Xuelong Li:
  Avatar motion control by natural body movement via camera. 648-652
  
• John Sum, Andrew Chi-Sing Leung:
  Prediction error of a fault tolerant neural network. 653-658
  
• V. Vijaya Saradhi, Harish Karnick:
  On the stability and bias-variance analysis of sparse SVMs. 659-663
  
• Marco Loog, Xiaojun Wu, Jieping Lu, Jing-Yu Yang, Shitong Wang, Josef Kittler:
  A note on an extreme case of the generalized optimal discriminant transformation. 664-665
  

Volume 72, Numbers 4-6, January 2009

• Amir Hussain, Igor Aleksander, Leslie S. Smith, Ron Chrisley:
  Brain inspired cognitive systems (BICS). 683-684
  
• Andrew Carnell:
  An analysis of the use of Hebbian and Anti-Hebbian spike time dependent plasticity learning functions within the context of recurrent spiking neural networks. 685-692
  
• Victoria J. Hodge, Simon O'Keefe, Jim Austin:
  A binary neural shape matcher using Johnson Counters and chain codes. 693-703
  
• Slawomir J. Nasuto, J. Mark Bishop, Kris De Meyer:
  Communicating neurons: A connectionist spiking neuron implementation of stochastic diffusion search. 704-712
  
• Jose Ignacio Serrano, M. Dolores del Castillo, Ángel Iglesias:
  Dealing with written language semantics by a connectionist model of cognitive reading. 713-725
  
• Chiara Bartolozzi, Giacomo Indiveri:
  Global scaling of synaptic efficacy: Homeostasis in silicon synapses. 726-731
  
• Rod Adams, Lee Calcraft, Neil Davey:
  Using a genetic algorithm to investigate efficient connectivity in associative memories. 732-742
  
• Hugo Gravato Marques, Owen Holland:
  Architectures for functional imagination. 743-759
  
• Antonio Chella, Irene Macaluso:
  The perception loop in CiceRobot, a museum guide robot. 760-766
  
• L. Andrew Coward, Tamás D. Gedeon:
  Implications of resource limitations for a conscious machine. 767-788
  
• José Mira Mira, José Manuel Ferrández de Vicente:
  The internal observer and the semantic gap. 789-791
  
• José Mira Mira, Ana E. Delgado:
  Sensory representation spaces in neuroscience and computation. 793-805
  
• María P. Bonomini, José M. Ferrández, Eduardo Fernández:
  Searching for semantics in the retinal code. 806-813
  
• Markus Bongard, José M. Ferrández, Eduardo Fernández:
  The neural concert of vision. 814-819
  
• Pedro Gómez Vilda, José Manuel Ferrández de Vicente, María Victoria Rodellar Biarge, Roberto Fernández-Baíllo:
  Time-frequency representations in speech perception. 820-830
  
• Isabel Gonzalo-Fonrodona:
  Functional gradients through the cortex, multisensory integration and scaling laws in brain dynamics. 831-838
  
• Guido Bologna, Benoît Deville, Thierry Pun:
  On the use of the auditory pathway to represent image scenes in real-time. 839-849
  
• José Luis Crespo, Andrés Faiña, Richard J. Duro:
  An adaptive detection/attention mechanism for real time robot operation. 850-860
  
• José M. Cuadra Troncoso, José Ramón Álvarez Sánchez, Félix de la Paz:
  Discretized ISO-learning neural network for obstacle avoidance in reactive robot controllers. 861-870
  
• Manuel Campos, José M. Juárez, Jose Salort, José Palma, Roque Marín:
  Reasoning in dynamic systems: From raw data to temporal abstract information. 871-878
  
• Eris Chinellato, Angel P. Del Pobil:
  Distance and orientation estimation of graspable objects in natural and artificial systems. 879-886
  
• Darío Maravall, Javier de Lope Asiaín, José Antonio Martin H.:
  Hybridizing evolutionary computation and reinforcement learning for the design of almost universal controllers for autonomous robots. 887-894
  
• Emilia I. Barakova, Tino Lourens:
  Mirror neuron framework yields representations for robot interaction. 895-900
  
• Juan José Pantrigo, Ángel Sánchez, José Mira Mira:
  Representation spaces in a visual-based human action recognition system. 901-915
  
• Enrique J. Carmona, Mariano Rincón, Margarita Bachiller, Javier Martínez-Cantos, Rafael Martínez-Tomás, José Mira:
  On the effect of feedback in multilevel representation spaces for visual surveillance tasks. 916-927
  
• J. Javier Martínez, F. Javier Toledo-Moreo, Eduardo Fernández, José M. Ferrández:
  Study of the contrast processing in the early visual system using a neuromorphic retinal architecture. 928-935
  
• Ernesto A. Martínez-Rams, Vicente Garcerán-Hernández, José Manuel Ferrández de Vicente:
  Low rate stochastic strategy for cochlear implants. 936-943
  
• Md. Faijul Amin, Kazuyuki Murase:
  Single-layered complex-valued neural network for real-valued classification problems. 945-955
  
• Mehdi Khashei, Mehdi Bijari, Gholam Ali Raissi Ardali:
  Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs). 956-967
  
• Christopher Johansson, Anders Lansner:
  Implementing plastic weights in neural networks using low precision arithmetic. 968-972
  
• Yusuke Torii, Shigeo Abe:
  Decomposition techniques for training linear programming support vector machines. 973-984
  
• Yihui Liu:
  Wavelet feature extraction for high-dimensional microarray data. 985-990
  
• Ruichu Cai, Zhifeng Hao, Xiaowei Yang, Wen Wen:
  An efficient gene selection algorithm based on mutual information. 991-999
  
• Manghui Tu, Zhonghang Xia, Peng Li, Nasser Tadayon:
  Allocation of partitioned data by using a neural network based approach. 1000-1011
  
• Mehdi Nasri, Hossein Nezamabadi-pour:
  Image denoising in the wavelet domain using a new adaptive thresholding function. 1012-1025
  
• Kun Yuan:
  Robust synchronization in arrays of coupled networks with delay and mixed coupling. 1026-1031
  
• Dah-Jye Lee, Paul C. Merrell, Brent E. Nelson, Zhaoyi Wei:
  Multi-frame structure from motion using optical flow probability distributions. 1032-1041
  
• Xiaoping Xie, Zhitong Cao, Xuchu Weng, Dan Jin:
  Estimating intrinsic dimensionality of fMRI dataset incorporating an AR(1) noise model with cubic spline interpolation. 1042-1055
  
• Zhenwei Liu, Huaguang Zhang, Zhanshan Wang:
  Novel stability criterions of a new fuzzy cellular neural networks with time-varying delays. 1056-1064
  
• Yonggang Chen, Yuanyuan Wu:
  Novel delay-dependent stability criteria of neural networks with time-varying delay. 1065-1070
  
• Sunan Huang, Kok Kiong Tan, Tong Heng Lee:
  Neural network learning algorithm for a class of interconnected nonlinear systems. 1071-1077
  
• Syed Shabbir Haider, Xiao-Jun Zeng:
  Simplified neural networks algorithm for function approximation on discrete input spaces in high dimension-limited sample applications. 1078-1083
  
• Wangxin Yu, Zhizhong Wang, Weiting Chen:
  A new framework to combine vertical and horizontal information for face recognition. 1084-1091
  
• Loris Nanni, Alessandra Lumini:
  Particle swarm optimization for prototype reduction. 1092-1097
  
• Tailei Zhang, Haijun Jiang, Zhidong Teng:
  On the distribution of the roots of a fifth degree exponential polynomial with application to a delayed neural network model. 1098-1104
  
• Zhanshan Wang, Huaguang Zhang, Wen Yu:
  Robust stability criteria for interval Cohen-Grossberg neural networks with time varying delay. 1105-1110
  
• Hakan Cevikalp, Hasan Serhan Yavuz, Mehmet Atif Cay, Atalay Barkana:
  Two-dimensional subspace classifiers for face recognition. 1111-1120
  
• Cheng-Jian Lin, Ming-Hua Hsieh:
  Classification of mental task from EEG data using neural networks based on particle swarm optimization. 1121-1130
  
• Xiaolin Hu:
  Applications of the general projection neural network in solving extended linear-quadratic programming problems with linear constraints. 1131-1137
  
• Faa-Jeng Lin, Syuan-Yi Chen, Po-Huan Chou, Po-Huang Shieh:
  Interval type-2 fuzzy neural network control for X-Y-Theta motion control stage using linear ultrasonic motors. 1138-1151
  
• Quanxue Gao, Lei Zhang, David Zhang:
  Sequential row-column independent component analysis for face recognition. 1152-1159
  
• P. P. Balestrassi, E. Popova, A. P. Paiva, J. W. Marangon Lima:
  Design of experiments on neural network's training for nonlinear time series forecasting. 1160-1178
  
• Chuandong Li, Gang Feng:
  Delay-interval-dependent stability of recurrent neural networks with time-varying delay. 1179-1183
  
• Radwan E. Abdel-Aal, El-Sayed M. El-Alfy:
  Constructing optimal educational tests using GMDH-based item ranking and selection. 1184-1197
  
• Zainal Ahmad, Jie Zhang:
  Selective combination of multiple neural networks for improving model prediction in nonlinear systems modelling through forward selection and backward elimination. 1198-1204
  
• Guihua Wen:
  Relative transformation-based neighborhood optimization for isometric embedding. 1205-1213
  
• Xiao-Ping Zeng, Yong-Ming Li, Jian Qin:
  A dynamic chain-like agent genetic algorithm for global numerical optimization and feature selection. 1214-1228
  
• Nasser Rezzoug, Philippe Gorce:
  A reinforcement learning based neural network architecture for obstacle avoidance in multi-fingered grasp synthesis. 1229-1241
  
• Junbin Gao, Paul Wing Hing Kwan, Yi Guo:
  Robust multivariate L1 principal component analysis and dimensionality reduction. 1242-1249
  
• Jean-Charles Créput, Abder Koukam:
  A memetic neural network for the Euclidean traveling salesman problem. 1250-1264
  
• Yijun Zhang, Dong Yue, Engang Tian:
  Robust delay-distribution-dependent stability of discrete-time stochastic neural networks with time-varying delay. 1265-1273
  
• Hong Chang, Xiaoliang Wei, Zuren Feng:
  Optimum associative neural network utilizing maximum likelihood. 1274-1282
  
• Lian Liu, Lihong Huang, Mingyong Lai, Chaoqun Ma:
  Projective ART with buffers for the high dimensional space clustering and an application to discover stock associations. 1283-1295
  
• Shiguo Lian:
  A block cipher based on chaotic neural networks. 1296-1301
  
• Qing Zhang, Minho Lee:
  Analysis of positive and negative emotions in natural scene using brain activity and GIST. 1302-1306
  
• Juyang Lei, Ke Huang, Haixiang Xu, Xizhi Shi:
  Infinite-dimensional sampling inference algorithm for linear dynamic system. 1307-1311
  
• Gang Yang, Junyan Yi, Zhiqiang Zhang, Zheng Tang:
  A TCNN filter algorithm to maximum clique problem. 1312-1318
  
• Yongzhou Li, Dayong Luo, Shaoqiang Liu:
  Orthogonal discriminant linear local tangent space alignment for face recognition. 1319-1323
  
• Gustavo Camps-Valls, Jordi Muñoz-Marí, Manel Martínez-Ramón, Jesús Requena-Carrión, José Luis Rojo-Álvarez:
  Learning non-linear time-scales with kernel gamma-filters. 1324-1328
  
• Junyan Yi, Gang Yang, Zhiqiang Zhang, Zheng Tang:
  An improved elastic net method for traveling salesman problem. 1329-1335
  
• Sancho Salcedo-Sanz, Ángel M. Pérez-Bellido, Emilio G. Ortíz-García, Antonio Portilla-Figueras, Luis Prieto, Francisco Correoso:
  Accurate short-term wind speed prediction by exploiting diversity in input data using banks of artificial neural networks. 1336-1341
  
• Hui Xue, Yulian Zhu, Songcan Chen:
  Local ridge regression for face recognition. 1342-1346
  
• M. Syed Ali, P. Balasubramaniam:
  Exponential stability of uncertain stochastic fuzzy BAM neural networks with time-varying delays. 1347-1354
  
• Yao Zhang, Liang Huang:
  A variant of P systems for optimization. 1355-1360
  
• Kyoobin Lee, Dong-Soo Kwon:
  Rate coding of spike-timing dependent plasticity: Activity-variation-timing dependent plasticity (AVTDP). 1361-1368
  

Volume 72, Numbers 7-9, March 2009

• Frank-Michael Schleif, Michael Biehl, Alfredo Vellido:
  Advances in machine learning and computational intelligence. 1377-1378
  
• Michaël Aupetit:
  Nearly homogeneous multi-partitioning with a deterministic generator. 1379-1389
  
• Aree Witoelar, Michael Biehl:
  Phase transitions in vector quantization and neural gas. 1390-1397
  
• Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
  Cycle-breaking acceleration of SVM training. 1398-1406
  
• Nicola Cancedda, Pierre Mahé:
  Factored sequence kernels. 1407-1413
  
• Andriy Mnih, Zhang Yuecheng, Geoffrey E. Hinton:
  Improving a statistical language model through non-linear prediction. 1414-1418
  
• Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi:
  Graph self-organizing maps for cyclic and unbounded graphs. 1419-1430
  
• John Aldo Lee, Michel Verleysen:
  Quality assessment of dimensionality reduction: Rank-based criteria. 1431-1443
  
• Victor Onclinx, Vincent Wertz, Michel Verleysen:
  Nonlinear data projection on non-Euclidean manifolds with controlled trade-off between trustworthiness and continuity. 1444-1454
  
• Nikolai Alex, Alexander Hasenfuss, Barbara Hammer:
  Patch clustering for massive data sets. 1455-1469
  
• Alexander Denecke, Heiko Wersing, Jochen J. Steil, Edgar Körner:
  Online figure-ground segmentation with adaptive metrics in generalized LVQ. 1470-1482
  
• Pedro J. García-Laencina, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Michel Verleysen:
  K nearest neighbours with mutual information for simultaneous classification and missing data imputation. 1483-1493
  
• Benoît Frénay, Marco Saerens:
  2S₂, a simple reinforcement learning scheme for two-player zero-sum Markov games. 1494-1507
  
• Marc Peter Deisenroth, Carl Edward Rasmussen, Jan Peters:
  Gaussian process dynamic programming. 1508-1524
  
• Thomas Burwick:
  On the relevance of local synchronization for establishing a winner-take-all functionality of the gamma cycle. 1525-1533
  
• Xavier Dutoit, Benjamin Schrauwen, Jan Van Campenhout, Dirk Stroobandt, Hendrik Van Brussel, Marnix Nuttin:
  Pruning and regularization in reservoir computing. 1534-1546
  
• Kai Labusch, Erhardt Barth, Thomas Martinetz:
  Sparse Coding Neural Gas: Learning of overcomplete data representations. 1547-1555
  
• Heesung Lee, Sungjun Hong, Euntai Kim:
  Neural network ensemble with probabilistic fusion and its application to gait recognition. 1557-1564
  
• Richard T. Gray, C. K. C. Fung, Peter A. Robinson:
  Stability of small-world networks of neural populations. 1565-1574
  
• Bartosz Swiderski, Stanislaw Osowski, Andrzej Cichocki, Andrzej Rysz:
  Single-class SVM and directed transfer function approach to the localization of the region containing epileptic focus. 1575-1583
  
• Xuemin Tian, Xiaoling Zhang, Xiaogang Deng, Sheng Chen:
  Multiway kernel independent component analysis based on feature samples for batch process monitoring. 1584-1596
  
• Yunfeng Xue, Yujia Wang, Jie Yang:
  Independent component analysis based on gradient equation and kernel density estimation. 1597-1604
  
• Tao Chen, Jianghong Ren:
  Bagging for Gaussian process regression. 1605-1610
  
• Tarek Ahmed-Ali, Godpromesse Kenné, Françoise Lamnabhi-Lagarrigue:
  Identification of nonlinear systems with time-varying parameters using a sliding-neural network observer. 1611-1620
  
• Yongkun Li, Xuerong Chen, Lu Zhao:
  Stability and existence of periodic solutions to delayed Cohen-Grossberg BAM neural networks with impulses on time scales. 1621-1630
  
• Shuang Feng, Hongxing Li, Dan Hu:
  A new training algorithm for HHFNN based on Gaussian membership function for approximation. 1631-1638
  
• Anas Quteishat, Chee Peng Lim, Jeffrey Tweedale, Lakhmi C. Jain:
  A neural network-based multi-agent classifier system. 1639-1647
  
• Jing-Hao Xue, D. Mike Titterington:
  Interpretation of hybrid generative/discriminative algorithms. 1648-1655
  
• Maria Teresa Signes Pont, J. M. García, Gregorio de Miguel Casado, Higinio Mora Mora:
  Computational framework for behavioural modelling of neural subsystems. 1656-1667
  
• Daniel Graves, Witold Pedrycz:
  Fuzzy prediction architecture using recurrent neural networks. 1668-1678
  
• Yunong Zhang, Weimu Ma, Xiao-Dong Li, Hong-Zhou Tan, Ke Chen:
  MATLAB Simulink modeling and simulation of LVI-based primal-dual neural network for solving linear and quadratic programs. 1679-1687
  
• Jie Zhou, Shuyong Li:
  Global exponential stability of impulsive BAM neural networks with distributed delays. 1688-1693
  
• Yang Tang, Jian-An Fang, Qing-Ying Miao:
  On the exponential synchronization of stochastic jumping chaotic neural networks with mixed delays and sector-bounded non-linearities. 1694-1701
  
• Hongjun Xiang, Jinde Cao:
  Exponential stability of periodic solution to Cohen-Grossberg-type BAM networks with time-varying delays. 1702-1711
  
• Zunshui Cheng, Jinde Cao:
  Bifurcation control in small-world networks. 1712-1718
  
• Chunxia Zhang, Shiming Xiang, Feiping Nie, Yangqiu Song:
  Nonlinear dimensionality reduction with relative distance comparison. 1719-1731
  
• Zhiwei Shi, Min Han:
  gamma-C plane and robustness in static reservoir for nonlinear regression estimation. 1732-1743
  
• Chengde Zheng, Huaguang Zhang, Zhanshan Wang:
  Novel delay-dependent criteria for global robust exponential stability of delayed cellular neural networks with norm-bounded uncertainties. 1744-1754
  
• Lifeng Shang, Zhang Yi, Luping Ji:
  Constrained ZIP code segmentation by a PCNN-based thinning algorithm. 1755-1762
  
• Kuo-Hsiang Cheng:
  CMAC-based neuro-fuzzy approach for complex system modeling. 1763-1774
  
• Juan Cao, Tian Xia, Jintao Li, Yongdong Zhang, Sheng Tang:
  A density-based method for adaptive LDA model selection. 1775-1781
  
• Qiankun Song, Jinling Liang, Zidong Wang:
  Passivity analysis of discrete-time stochastic neural networks with time-varying delays. 1782-1788
  
• Xiaoyang Liu, Nan Jiang:
  Robust stability analysis of generalized neural networks with multiple discrete delays and multiple distributed delays. 1789-1796
  
• Gholam Ali Montazer, Reza Sabzevari, Fatemeh Ghorbani:
  Three-phase strategy for the OSD learning method in RBF neural networks. 1797-1802
  
• Yongqiang Zhou, Shouming Zhong, Mao Ye, Zhiyuan Shi:
  Global asymptotic stability analysis of nonlinear differential equations in hybrid bidirectional associative memory neural networks with distributed time-varying delays. 1803-1807
  
• Yi-Chung Hu:
  Functional-link nets with genetic-algorithm-based learning for robust nonlinear interval regression analysis. 1808-1816
  
• Peyman Adibi, Reza Safabakhsh:
  Linear manifold topographic map formation based on an energy function with on-line adaptation rules. 1817-1825
  
• Xiaoping Xue, Wei Bian:
  A project neural network for solving degenerate quadratic minimax problem with linear constraints. 1826-1838
  
• Qinglai Wei, Huaguang Zhang, Jing Dai:
  Model-free multiobjective approximate dynamic programming for discrete-time nonlinear systems with general performance index functions. 1839-1848
  
• Richard T. Gray, Peter A. Robinson:
  Stability of random brain networks with excitatory and inhibitory connections. 1849-1858
  
• Piotr Juszczak, David M. J. Tax, Elzbieta Pekalska, Robert P. W. Duin:
  Minimum spanning tree based one-class classifier. 1859-1869
  
• Catherine Vairappan, Hiroki Tamura, Shangce Gao, Zheng Tang:
  Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series prediction. 1870-1877
  
• Chen Qiao, Zongben Xu:
  A critical global convergence analysis of recurrent neural networks with general projection mappings. 1878-1886
  
• Laura Y. Zhao, Bertram E. Shi:
  Integrating contrast invariance into a model for cortical orientation map formation. 1887-1899
  
• Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
  Pruning an ensemble of classifiers via reinforcement learning. 1900-1909
  
• Ichiro Igari, Jun Tani:
  Incremental learning of sequence patterns with a modular network model. 1910-1919
  
• Hung-Ching Lu, Chih-Ying Chuang, Ming-Feng Yeh:
  Design of a hybrid adaptive CMAC with supervisory controller for a class of nonlinear system. 1920-1933
  
• Ahmad Bagheri, Jalal Javadi Moghaddam:
  Simulation and tracking control based on neural-network strategy and sliding-mode control for underwater remotely operated vehicle. 1934-1950
  
• Dattatray V. Jadhav, Raghunath S. Holambe:
  Feature extraction using Radon and wavelet transforms with application to face recognition. 1951-1959
  
• Qutang Cai, Changshui Zhang, Chunyi Peng:
  Analysis of classification margin for classification accuracy with applications. 1960-1968
  
• Juan Ignacio Mulero-Martínez:
  Analysis of the errors in the modelling of manipulators with Gaussian RBF neural networks. 1969-1978
  
• Fumihiko Ishida, Takahiro Sasaki, Yutaka Sakaguchi, Hiroyuki Shimai:
  Reinforcement-learning agents with different temperature parameters explain the variety of human action-selection behavior in a Markov decision process task. 1979-1984
  
• Qing Zhu, Tianping Zhang, Shumin Fei, Kan-Jian Zhang, Tao Li:
  Adaptive neural control for a class of output feedback time delay nonlinear systems. 1985-1992
  
• Jin-Liang Shao, Ting-Zhu Huang, Sheng Zhou:
  An analysis on global robust exponential stability of neural networks with time-varying delays. 1993-1998
  
• Meng Dong, Huaguang Zhang, Yingchun Wang:
  Dynamics analysis of impulsive stochastic Cohen-Grossberg neural networks with Markovian jumping and mixed time delays. 1999-2004
  
• Daniel Schneegaß:
  On the bias of batch Bellman residual minimisation. 2005-2008
  
• Hongbin Du, Xiaochuan Chen:
  NN-based output feedback adaptive variable structure control for a class of non-affine nonlinear systems: A nonseparation principle design. 2009-2016
  
• Hongyi Li, Bing Chen, Chong Lin, Qi Zhou:
  Mean square exponential stability of stochastic fuzzy Hopfield neural networks with discrete and distributed time-varying delays. 2017-2023
  
• Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärinen:
  Estimation of linear non-Gaussian acyclic models for latent factors. 2024-2027
  
• Stefano Rovetta, Francesco Masulli, Maurizio Filippone:
  Soft ranking in clustering. 2028-2031
  
• M. Anzinger, F. Rattay:
  The role of inhibition in central pattern generators: A simulation study. 2032-2034
  
• Fei Wang, Xin Wang:
  Neighborhood discriminant tensor mapping. 2035-2039
  
• Xin Pan, Qiuqi Ruan:
  Palmprint recognition using Gabor-based local invariant features. 2040-2045
  
• Xiang Peng, Irwin King:
  A biased minimax probability machine-based scheme for relevance feedback in image retrieval. 2046-2051
  

Volume 72, Numbers 10-12, June 2009

• Manuel Graña:
  Lattice computing and natural computing. 2065-2066
  
• Vassilis G. Kaburlasos, Stelios E. Papadakis:
  A granular extension of the fuzzy-ARTMAP (FAM) neural classifier based on fuzzy lattice reasoning (FLR). 2067-2078
  
• Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos:
  AG-ART: An adaptive approach to evolving ART architectures. 2079-2092
  
• H. Chris Tseng, Bassam Almogahed:
  Modular neural networks with applications to pattern profiling problems. 2093-2100
  
• Gerhard X. Ritter, Gonzalo Urcid, Mark S. Schmalz:
  Autonomous single-pass endmember approximation using lattice auto-associative memories. 2101-2110
  
• Manuel Graña, Ivan Villaverde, José Orlando Maldonado, Carmen Hernández:
  Two lattice computing approaches for the unsupervised segmentation of hyperspectral images. 2111-2120
  
• Vassilis G. Kaburlasos, Lefteris Moussiades, Athena Vakali:
  Fuzzy lattice reasoning (FLR) type neural computation for weighted graph partitioning. 2121-2133
  
• Francisco Bellas, José Antonio Becerra, Richard J. Duro:
  Using promoters and functional introns in genetic algorithms for neuroevolutionary learning in non-stationary problems. 2134-2145
  
• Maite García-Sebastián, Carmen Hernández, Alicia D'Anjou:
  Robustness of an adaptive MRI segmentation algorithm parametric intensity inhomogeneity modeling. 2146-2152
  
• Nadia Nedjah, Luiza de Macedo Mourelle:
  Neural networks in intelligent systems design. 2153
  
• Fábio Darios Freitas, Alberto F. De Souza, Ailson R. de Almeida:
  Prediction-based portfolio optimization model using neural networks. 2155-2170
  
• Nadia Nedjah, Rodrigo Martins da Silva, Luiza de Macedo Mourelle, Marcus Vinicius Carvalho da Silva:
  Dynamic MAC-based architecture of artificial neural networks suitable for hardware implementation on FPGAs. 2171-2179
  
• Alexandre C. B. Delbem, Leonardo Garcia Correa, Liang Zhao:
  Design of associative memories using cellular neural networks. 2180-2188
  
• Thiago A. S. Masutti, Leandro Nunes de Castro:
  Neuro-immune approach to solve routing problems. 2189-2197
  
• Marcos G. Quiles, Liang Zhao, Fabricio A. Breve, Roseli A. Francelin Romero:
  A network of integrate and fire neurons for visual selection. 2198-2208
  
• Alberto Ferreira de Souza, Felipe Pedroni, Elias Oliveira, Patrick Marques Ciarelli, Wallace Favoreto Henrique, Lucas Veronese, Claudine Badue:
  Automated multi-label text categorization with VG-RAM weightless neural networks. 2209-2217
  
• Xinsong Yang:
  Existence and global exponential stability of periodic solution for Cohen-Grossberg shunting inhibitory cellular neural networks with delays and impulses. 2219-2226
  
• Md. Faijul Amin, Md. Monirul Islam, Kazuyuki Murase:
  Ensemble of single-layered complex-valued neural networks for classification tasks. 2227-2234
  
• Qinggang Wang, Jianwei Li:
  Combining local and global information for nonlinear dimensionality reduction. 2235-2241
  
• Yadong Liu, Dewen Hu, Zongtan Zhou, Fayi Liu:
  Local region structured noise reduction for cortical optical imaging. 2242-2248
  
• Zhizheng Liang, Youfu Li:
  Incremental support vector machine learning in the primal and applications. 2249-2258
  
• Xiaoqian Xu, Dah-Jye Lee, Sameer Antani, L. Rodney Long, James K. Archibald:
  Using relevance feedback with short-term memory for content-based spine X-ray image retrieval. 2259-2269
  
• Douglas A. G. Vieira, L. Travassos, Rodney R. Saldanha, Vasile Palade:
  Signal denoising in engineering problems through the minimum gradient method. 2270-2275
  
• Rui Xu, Yen-Wei Chen:
  Generalized N-dimensional principal component analysis (GND-PCA) and its application on construction of statistical appearance models for medical volumes with fewer samples. 2276-2287
  
• Di Xiao, Xiaofeng Liao, Yong Wang:
  Parallel keyed hash function construction based on chaotic neural network. 2288-2296
  
• Amornchai Arpornwichanop, Natthapong Shomchoam:
  Control of fed-batch bioreactors by a hybrid on-line optimal control strategy and neural network estimator. 2297-2302
  
• Jinxian Li, Jurang Yan:
  Dynamical analysis of Cohen-Grossberg neural networks with time-delays and impulses. 2303-2309
  
• Mehran Emadi Andani, Fariba Bahrami, Parviz Jabehdar-Maralani:
  AMA-MOSAICI: An automatic module assigning hierarchical structure to control human motion based on movement decomposition. 2310-2318
  
• Junjie Wu, Hui Xiong, Jian Chen:
  Towards understanding hierarchical clustering: A data distribution perspective. 2319-2330
  
• Dongming Zhou, Rencan Nie, Dongfeng Zhao:
  Analysis of autowave characteristics for competitive pulse coupled neural network and its application. 2331-2336
  
• João Martins, Pedro Tomás, Leonel Sousa:
  Neural code metrics: Analysis and application to the assessment of neural models. 2337-2350
  
• Akiko Takeda:
  Generalization performance of nu-support vector classifier based on conditional value-at-risk minimization. 2351-2358
  
• Rozaida Ghazali, Abir Jaafar Hussain, Nazri Mohd Nawi, Baharuddin Mohamad:
  Non-stationary and stationary prediction of financial time series using dynamic ridge polynomial neural network. 2359-2367
  
• Chenping Hou, Jing Wang, Yi Wu, Dongyun Yi:
  Local linear transformation embedding. 2368-2378
  
• Yuanyuan Wu, Yuqiang Wu, Yonggang Chen:
  Mean square exponential stability of uncertain stochastic neural networks with time-varying delay. 2379-2384
  
• Ioannis G. Tsoulos, Dimitris Gavrilis, Euripidis Glavas:
  Solving differential equations with constructed neural networks. 2385-2391
  
• Simon J. Haggett, Dominique F. Chu:
  Evolving novelty detectors for specific applications. 2392-2405
  
• Tareq Jaber, Abbes Amira, Peter Milligan:
  TDM modeling and evaluation of different domain transforms for LSI. 2406-2417
  
• Yung-Chi Hsu, Sheng-Fuu Lin:
  Reinforcement group cooperation-based symbiotic evolution for recurrent wavelet-based neuro-fuzzy systems. 2418-2432
  
• Dongbo Zhang, Yaonan Wang, Huixian Huang:
  Rough neural network modeling based on fuzzy rough model and its application to texture classification. 2433-2443
  
• Zhe Wang, Songcan Chen:
  Multi-view kernel machine on single-view data. 2444-2449
  
• Yuan Yuan, Yanwei Pang, Jing Pan, Xuelong Li:
  Scene segmentation based on IPCA for visual surveillance. 2450-2454
  
• Haijun Jiang, Zhidong Teng:
  Boundedness, periodic solutions and global stability for cellular neural networks with variable coefficients and infinite delays. 2455-2463
  
• Chia-Feng Juang, Wen-Kai Sun, Guo-Cyuan Chen:
  Object detection by color histogram-based fuzzy classifier with support vector learning. 2464-2476
  
• Alexander Goltsev, Vladimir Gritsenko:
  Modular neural networks with Hebbian learning rule. 2477-2482
  
• Xiao Zhi Gao, Xiaolei Wang, Seppo J. Ovaska:
  Fusion of clonal selection algorithm and differential evolution method in training cascade-correlation neural network. 2483-2490
  
• Shankar Bhausaheb Nikam, Suneeta Agarwal:
  Ridgelet-based fake fingerprint detection. 2491-2506
  
• Ricardo de A. Araújo, Tiago A. E. Ferreira:
  An intelligent hybrid morphological-rank-linear method for financial time series prediction. 2507-2524
  
• Bao Rong Chang, Hsiu Fen Tsai:
  Quantum-minimized BWGC/NGARCH approach to financial time series forecast. 2525-2535
  
• Mario G. C. A. Cimino, Witold Pedrycz, Beatrice Lazzerini, Francesco Marcelloni:
  Using multilayer perceptrons as receptive fields in the design of neural networks. 2536-2548
  
• Jia Liu, Guangdeng Zong:
  New delay-dependent asymptotic stability conditions concerning BAM neural networks of neutral type. 2549-2555
  
• Hongjuan Zhang, Zhenwei Shi, Chonghui Guo:
  Blind source extraction based on generalized autocorrelations and complexity pursuit. 2556-2562
  
• Chunwei Song, Huijun Gao, Wei Xing Zheng:
  A new approach to stability analysis of discrete-time recurrent neural networks with time-varying delay. 2563-2568
  
• Liang Zhao, Yupu Yang, Yong Zeng:
  Eliciting compact T-S fuzzy models using subtractive clustering and coevolutionary particle swarm optimization. 2569-2575
  
• Jun-e Feng, Shengyuan Xu, Yun Zou:
  Delay-dependent stability of neutral type neural networks with distributed delays. 2576-2580
  
• Xiaozhe Wang, Kate Amanda Smith-Miles, Rob J. Hyndman:
  Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series. 2581-2594
  
• Mousa Al-Akhras, H. Zedan, R. John, Iman Almomani:
  Non-intrusive speech quality prediction in VoIP networks using a neural network approach. 2595-2608
  
• Jin Zhu, Qingling Zhang, Chunyu Yang:
  Delay-dependent robust stability for Hopfield neural networks of neutral-type. 2609-2617
  
• Minvydas Ragulskis, Kristina Lukoseviciute:
  Non-uniform attractor embedding for time series forecasting by fuzzy inference systems. 2618-2626
  
• Lei Chen, Guang-Bin Huang, Hung Keng Pung:
  Systemical convergence rate analysis of convex incremental feedforward neural networks. 2627-2635
  
• Yih-Guang Leu, Wei-Yen Wang, I.-Hsum Li:
  RGA-based on-line tuning of BMF fuzzy-neural networks for adaptive control of uncertain nonlinear systems. 2636-2642
  
• Jia-yang Wang, Jie Zhou:
  Research of reduct features in the variable precision rough set model. 2643-2648
  
• Jarkko Tikka:
  Simultaneous input variable and basis function selection for RBF networks. 2649-2658
  
• Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
  Localized support vector regression for time series prediction. 2659-2669
  
• Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris:
  Orthogonal-least-squares regression: A unified approach for data modelling. 2670-2681
  
• Qian Du, Ivica Kopriva:
  Dependent component analysis for blind restoration of images degraded by turbulent atmosphere. 2682-2692
  
• Ryotaro Kamimura:
  An information-theoretic approach to feature extraction in competitive learning. 2693-2704
  
• Keyun Ma, Li Yu, Wen-an Zhang:
  Global exponential stability of cellular neural networks with time-varying discrete and distributed delays. 2705-2709
  
• Dipti Srinivasan, Chee Wai Chan, P. G. Balaji:
  Computational intelligence-based congestion prediction for a dynamic urban street network. 2710-2716
  

Volume 72, Numbers 13-15, August 2009

• Ajith Abraham, Emilio Corchado, Juan M. Corchado:
  Hybrid learning machines. 2729-2730
  
• Pedro Antonio Gutiérrez, César Hervás, Mariano Carbonero-Ruz, Juan Carlos Fernández:
  Combined projection and kernel basis functions for classification in evolutionary neural networks. 2731-2742
  
• Juan M. Corchado, Javier Bajo, Juan Francisco de Paz, Sara Rodríguez:
  An execution time neural-CBR guidance assistant. 2743-2753
  
• Guiomar Corral, Eva Armengol, Albert Fornells, Elisabet Golobardes:
  Explanations of unsupervised learning clustering applied to data security analysis. 2754-2762
  
• Katti Faceli, Marcílio Carlos Pereira de Souto, Daniel S. A. de Araujo, André Carlos Ponce Leon Ferreira de Carvalho:
  Multi-objective clustering ensemble for gene expression data analysis. 2763-2774
  
• Álvaro Herrero, Emilio Corchado, María A. Pellicer, Ajith Abraham:
  MOVIH-IDS: A mobile-visualization hybrid intrusion detection system. 2775-2784
  
• Emilio Serrano, Jorge J. Gómez-Sanz, Juan A. Botía, Juan Pavón:
  Intelligent data analysis applied to debug complex software systems. 2785-2795
  
• Ke Tang, Minlong Lin, Fernanda L. Minku, Xin Yao:
  Selective negative correlation learning approach to incremental learning. 2796-2805
  
• José Antonio Martin H., Javier de Lope Asiaín, Matilde Santos Peñas:
  A method to learn the inverse kinematics of multi-link robots by evolving neuro-controllers. 2806-2814
  
• He Ni, Hujun Yin:
  Exchange rate prediction using hybrid neural networks and trading indicators. 2815-2823
  
• Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro:
  Finding optimal model parameters by deterministic and annealed focused grid search. 2824-2832
  

• Jingtao Yao, Qingfu Zhang, Jingsheng Lei:
  Recent developments in natural computation. 2833-2834
  
• Evren Daglarli, Hakan Temeltas, S. Murat Yesiloglu:
  Behavioral task processing for cognitive robots using artificial emotions. 2835-2844
  
• Pawalai Kraipeerapun, Chun Che Fung:
  Binary classification using ensemble neural networks and interval neutrosophic sets. 2845-2856
  
• Hong-Wei Ge, Wenli Du, Feng Qian, Yanchun Liang:
  Identification and control of nonlinear systems by a time-delay recurrent neural network. 2857-2864
  
• Joseph P. Herbert, Jingtao Yao:
  A granular computing framework for self-organizing maps. 2865-2872
  
• Qin Ju, Zhongbo Yu, Zhenchun Hao, Gengxin Ou, Jian Zhao, Dedong Liu:
  Division-based rainfall-runoff simulations with BP neural networks and Xinanjiang model. 2873-2883
  
• Yeqiu Li, Jianming Lu, Ling Wang, Takashi Yahagi:
  Denoising by using multineural networks for medical X-ray imaging applications. 2884-2891
  
• Yo-Hsien Lin, Jong-Chen Chen, Chao-Yi Huang:
  Design and implementation of an artificial neuromolecular chip and its applications to pattern classification problems. 2892-2901
  
• Pei Liu:
  A self-organizing feature maps and data mining based decision support system for liability authentications of traffic crashes. 2902-2908
  
• Chengcai Ma, Xiaodong Gu, Yuanyuan Wang:
  Fault diagnosis of power electronic system based on fault gradation and neural network group. 2909-2914
  
• Predrag Neskovic, Ian Sherman, Liang Wu, Leon N. Cooper:
  Learning faces with the BIAS model: On the importance of the sizes and locations of fixation regions. 2915-2922
  
• Rodrigo Ventura, Carlos Pinto-Ferreira:
  Responding efficiently to relevant stimuli using an emotion-based agent architecture. 2923-2930
  
• Shuisheng Zhou, Hongwei Liu, Feng Ye:
  Variant of Gaussian kernel and parameter setting method for nonlinear SVM. 2931-2937
  

• Roozbeh Razavi-Far, Hadi Davilu, Vasile Palade, Caro Lucas:
  Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks. 2939-2951
  
• Ignacio Barrio, Enrique Romero, Lluís Belanche:
  An experimental study on methods for the selection of basis functions in regression. 2952-2963
  
• Sylvain Lespinats, Bernard Fertil, Pierre Villemain, Jeanny Hérault:
  RankVisu: Mapping from the neighborhood network. 2964-2978
  
• Zhiguo Zhang:
  Iterative algorithm of wavelet network learning from nonuniform data. 2979-2999
  
• A. E. Kostopoulos, T. N. Grapsa:
  Self-scaled conjugate gradient training algorithms. 3000-3019
  
• I. Mora-Jiménez, Aníbal R. Figueiras-Vidal:
  Improving performance of neural classifiers via selective reduction of target levels. 3020-3027
  
• XiaoBin Wang, Hong Qu, Zhang Yi:
  A modified pulse coupled neural network for shortest-path problem. 3028-3033
  
• Teresa Orlowska-Kowalska, Marcin Kaminski:
  Application of the OBD method for optimization of neural state variable estimators of the two-mass drive system. 3034-3045
  
• Haiquan Zhao, Jiashu Zhang:
  Nonlinear dynamic system identification using pipelined functional link artificial recurrent neural network. 3046-3054
  
• Xun Liang, Haisheng Zhang, Jianguo Xiao, Ying Chen:
  Improving option price forecasts with neural networks and support vector regressions. 3055-3065
  
• Xiaoliang Tang, Min Han:
  Partial Lanczos extreme learning machine for single-output regression problems. 3066-3076
  
• Tinghua Wang, Shengfeng Tian, Houkuan Huang, Dayong Deng:
  Learning by local kernel polarization. 3077-3084
  
• Alfredo Vellido, Enrique Romero, Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Margarida Julià-Sapé, Carles Arús:
  Outlier exploration and diagnostic classification of a multi-centre ¹H-MRS brain tumour database. 3085-3097
  
• Hengjie Song, Chunyan Miao, Zhiqi Shen, Yuan Miao, Bu-Sung Lee:
  A fuzzy neural network with fuzzy impact grades. 3098-3122
  
• Min Xia, Jian-An Fang, Feng Pan, Enjian Bai:
  Robust sequence memory in sparsely-connected networks with controllable steady-state period. 3123-3130
  
• Oumar Diene, Amit Bhaya:
  Perceptron training algorithms designed using discrete-time control Liapunov functions. 3131-3137
  
• Ewa Dudek-Dyduch, Ryszard Tadeusiewicz, Adrian Horzyk:
  Neural network adaptation process effectiveness dependent of constant training data availability. 3138-3149
  
• Yi-Chung Hu:
  Bankruptcy prediction using ELECTRE-based single-layer perceptron. 3150-3157
  
• Michael J. Healy, Richard D. Olinger, Robert J. Young, Shawn E. Taylor, Thomas P. Caudell, Kurt W. Larson:
  Applying category theory to improve the performance of a neural architecture. 3158-3173
  
• Xinbo Gao, Ya Su, Xuelong Li, Dacheng Tao:
  Gabor texture in active appearance models. 3174-3181
  
• Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi:
  Kernel nonnegative matrix factorization for spectral EEG feature extraction. 3182-3190
  
• Pavlo V. Tymoshchuk:
  A discrete-time dynamic K-winners-take-all neural circuit. 3191-3202
  
• Tian Xia, Juan Cao, Yongdong Zhang, Jintao Li:
  On defining affinity graph for spectral clustering through ranking on manifolds. 3203-3211
  
• V. G. Vassiliadis, Alexandros G. Rigas:
  A semi-parametric test based on a quasi-likelihood approach for comparing the estimated spectra of two neural spike trains. 3212-3219
  
• Syuan-Yi Chen, Faa-Jeng Lin, Kuo-Kai Shyu:
  Direct decentralized neural control for nonlinear MIMO magnetic levitation system. 3220-3230
  
• P. Balasubramaniam, R. Rakkiyappan:
  Delay-dependent robust stability analysis of uncertain stochastic neural networks with discrete interval and distributed time-varying delays. 3231-3237
  
• Robert Cierniak:
  New neural network algorithm for image reconstruction from fan-beam projections. 3238-3244
  
• Liang Hu, Hao Liu, Yingbo Zhao:
  New stability criteria for BAM neural networks with time-varying delays. 3245-3252
  
• Yang Tang, Jian-An Fang:
  Robust synchronization in an array of fuzzy delayed cellular neural networks with stochastically hybrid coupling. 3253-3262
  
• Haixia Wu, Xiaofeng Liao, Songtao Guo, Wei Feng, Zhengxia Wang:
  Stochastic stability for uncertain genetic regulatory networks with interval time-varying delays. 3263-3276
  
• W. F. Xie, Y. Q. Zhu, Z. Y. Zhao, Y. K. Wong:
  Nonlinear system identification using optimized dynamic neural network. 3277-3287
  
• Qiankun Song:
  Design of controller on synchronization of chaotic neural networks with mixed time-varying delays. 3288-3295
  
• Defeng Wang, Lin Shi, Pheng-Ann Heng:
  Automatic detection of breast cancers in mammograms using structured support vector machines. 3296-3302
  
• Yi Wang, Jianwei Shen, Baoguo Niu, Zengrong Liu, Luonan Chen:
  Robustness of interval gene networks with multiple time-varying delays and noise. 3303-3310
  
• Bing Li, Daoyi Xu:
  Mean square asymptotic behavior of stochastic neural networks with infinitely distributed delays. 3311-3317
  
• Huicheng Zheng, Wei Shen, Qionghai Dai, Sanqing Hu, Zhe-Ming Lu:
  Learning nonlinear manifolds based on mixtures of localized linear manifolds under a self-organizing framework. 3318-3330
  
• Chengde Zheng, Lai-Bing Lu, Zhanshan Wang:
  New LMT-based delay-dependent criterion for global asymptotic stability of cellular neural networks. 3331-3336
  
• Zhengguang Wu, Hongye Su, Jian Chu, Wuneng Zhou:
  New results on robust exponential stability for discrete recurrent neural networks with time-varying delays. 3337-3342
  
• Yijun Zhang, Shengyuan Xu, Zhenping Zeng:
  Novel robust stability criteria of discrete-time stochastic recurrent neural networks with time delay. 3343-3351
  
• Chuangxia Huang, Jinde Cao:
  Almost sure exponential stability of stochastic cellular neural networks with unbounded distributed delays. 3352-3356
  

• Wuneng Zhou, Hongqian Lu, Chunmei Duan:
  Exponential stability of hybrid stochastic neural networks with mixed time delays and nonlinearity. 3357-3365
  
• Takashi Takekawa, Tomoki Fukai:
  A novel view of the variational Bayesian clustering. 3366-3369
  
• Jin Chen, Cheng Wang, Runsheng Wang:
  Adaptive binary tree for fast SVM multiclass classification. 3370-3375
  
• Xun-Lin Zhu, Youyi Wang, Guang-Hong Yang:
  New delay-dependent stability results for discrete-time recurrent neural networks with time-varying delay. 3376-3383
  
• Wankou Yang, Jianguo Wang, Mingwu Ren, Lei Zhang, Jingyu Yang:
  Feature extraction using fuzzy inverse FDA. 3384-3390
  
• Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
  Ensemble of online sequential extreme learning machine. 3391-3395
  
• Marcus Fraga Vieira, Leonardo Abdala Elias:
  Accommodation in motoneuron models with passive dendrite: Response to linearly rising currents. 3396-3398
  
• Zilan Hu:
  Comment on "Facial expression recognition based on two-dimensional discriminant locality preserving projections" [Neurocomputing 71 (2008) 1730-1734]. 3399-3400
  

Volume 72, Numbers 16-18, October 2009

• Mu-Yen Chen:
  Financial Engineering. 3411-3412
  
• Marina Resta:
  Seize the (intra)day: Features selection and rules extraction for tradings on high-frequency data. 3413-3427
  
• Kaijian He, Chi Xie, Shou Chen, Kin Keung Lai:
  Estimating VaR in crude oil market: A novel multi-scale non-linear ensemble approach incorporating wavelet analysis and neural network. 3428-3438
  
• Md. Rafiul Hassan:
  A combination of hidden Markov model and fuzzy model for stock market forecasting. 3439-3446
  
• Tetsuya Shimokawa, Kyoko Suzuki, Tadanobu Misawa, Yoshitaka Okano:
  Predicting investment behavior: An augmented reinforcement learning model. 3447-3461
  
• Ching-Hsue Cheng, Liang-Ying Wei, You-Shyang Chen:
  Fusion ANFIS models based on multi-stock volatility causality for TAIEX forecasting. 3462-3468
  
• Kiyoshi Izumi, F. Toriumi, Hiroki Matsui:
  Evaluation of automated-trading strategies using an artificial market. 3469-3476
  
• Yu-Cheng Tang:
  An approach to budget allocation for an aerospace company - Fuzzy analytic hierarchy process and artificial neural network. 3477-3489
  
• Chei-Chang Chiou:
  Effects of Financial Holding Company Act on bank efficiency and productivity in Taiwan. 3490-3506
  
• Tzong-Huei Lin:
  A cross model study of corporate financial distress prediction in Taiwan: Multiple discriminant analysis, logit, probit and neural networks models. 3507-3516
  
• Thira Chavarnakul, David Enke:
  A hybrid stock trading system for intelligent technical analysis-based equivolume charting. 3517-3528
  
• He Ni, Hujun Yin:
  A self-organising mixture autoregressive network for FX time series modelling and prediction. 3529-3537
  

• Joan Cabestany, Francisco Sandoval Hernández, Alberto Prieto:
  Computational and ambient intelligence. 3539-3540
  
• Alberto Guillén, Héctor Pomares, Jesús González, Ignacio Rojas, Olga Valenzuela, Beatriz Prieto:
  Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems. 3541-3555
  
• Maite García-Sebastián, Ana Isabel González, Manuel Graña:
  An adaptive field rule for non-parametric MRI intensity inhomogeneity estimation algorithm. 3556-3569
  
• Mario Cámara, Julio Ortega, Francisco de Toro:
  A single front genetic algorithm for parallel multi-objective optimization in dynamic environments. 3570-3579
  
• Vanessa Gómez-Verdejo, Michel Verleysen, Jérôme Fleury:
  Information-theoretic feature selection for functional data classification. 3580-3589
  
• Frank-Michael Schleif, Thomas Villmann, Matthias Ongyerth:
  Supervised data analysis and reliability estimation with exemplary application for spectral data. 3590-3601
  
• Arturo Berrones:
  Characterization of the convergence of stationary Fokker-Planck learning. 3602-3608
  
• Thomas Jacob Koickal, Luiz Carlos Gouveia, Alister Hamilton:
  A programmable spike-timing based circuit block for reconfigurable neuromorphic computing. 3609-3616
  
• Miguel Ángel López, Héctor Pomares, Francisco J. Pelayo, José M. Urquiza, Javier Perez:
  Evidences of cognitive effects over auditory steady-state responses by means of artificial neural networks and its use in brain-computer interfaces. 3617-3623
  
• Diego E. Pardo, Cecilio Angulo, Sergi del Moral, Andreu Català:
  Emerging motor behaviors: Learning joint coordination in articulated mobile robots. 3624-3630
  
• Rafael Del Hoyo, Bonifacio Martín-del-Brío, Nicolás J. Medrano-Marqués, Julián Fernández-Navajas:
  Computational intelligence tools for next generation quality of service management. 3631-3639
  
• J. R. Salinas, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
  Sine-fitting multiharmonic algorithms implemented by artificial neural networks. 3640-3648
  
• Álvaro Herrero, Emilio Corchado, Paolo Gastaldo, Rodolfo Zunino:
  Neural projection techniques for the visual inspection of network traffic. 3649-3658
  
• Jose Ignacio Serrano, M. Dolores del Castillo, Ángel Iglesias, Jesus Oliva:
  Assessing aspects of reading by a connectionist model. 3659-3668
  

• Hongyang Liu, Lin Zhao, Zexu Zhang, Yan Ou:
  Stochastic stability of Markovian jumping Hopfield neural networks with constant and distributed delays. 3669-3674
  
• P. Balasubramaniam, S. Lakshmanan, R. Rakkiyappan:
  Delay-interval dependent robust stability criteria for stochastic neural networks with linear fractional uncertainties. 3675-3682
  
• Emilio G. Ortíz-García, Sancho Salcedo-Sanz, Ángel M. Pérez-Bellido, José Antonio Portilla-Figueras:
  Improving the training time of support vector regression algorithms through novel hyper-parameters search space reductions. 3683-3691
  
• Elia Liitiäinen, Michel Verleysen, Francesco Corona, Amaury Lendasse:
  Residual variance estimation in machine learning. 3692-3703
  
• Tapani Raiko, Matti Tornio:
  Variational Bayesian learning of nonlinear hidden state-space models for model predictive control. 3704-3712
  
• Miriam Antón-Rodríguez, Francisco Javier Díaz Pernas, José Fernando Díez Higuera, Mario Martínez-Zarzuela, David González Ortega, Daniel Boto-Giralda:
  Recognition of coloured and textured images through a multi-scale neural architecture with orientational filtering and chromatic diffusion. 3713-3725
  
• Liping Li, Lihong Huang:
  Global asymptotic stability of delayed neural networks with discontinuous neuron activations. 3726-3733
  
• Xinjun Peng, Yifei Wang:
  A normal least squares support vector machine (NLS-SVM) and its learning algorithm. 3734-3741
  
• Xinbo Gao, Chunna Tian:
  Multi-view face recognition based on tensor subspace analysis and view manifold modeling. 3742-3750
  
• Hongjun Xiang, Jinhua Wang, Jinde Cao:
  Almost periodic solution to Cohen-Grossberg-type BAM networks with distributed delays. 3751-3759
  
• Chao-Huang Wang, Chung-Nan Lee, Chaur-Heh Hsieh:
  Classified self-organizing map with adaptive subcodebook for edge preserving vector quantization. 3760-3770
  
• Ramaswamy Savitha, Sundaram Suresh, N. Sundararajan, P. Saratchandran:
  A new learning algorithm with logarithmic performance index for complex-valued neural networks. 3771-3781
  
• Wei Zhou, Jacek M. Zurada:
  A class of discrete time recurrent neural networks with multivalued neurons. 3782-3788
  
• Yo Horikawa, Hiroyuki Kitajima:
  Properties of variations in the periods of ring neural oscillators with noise. 3789-3794
  
• Mario González, David Dominguez, Francisco B. Rodríguez:
  Block attractor in spatially organized neural networks. 3795-3801
  
• Lifen Yuan, Zhaohui Yuan, Yigang He:
  Convergence of non-autonomous discrete-time Hopfield model with delays. 3802-3808
  
• Lei Zhang, Zhang Yi, Jiali Yu, Pheng-Ann Heng:
  Some multistability properties of bidirectional associative memory recurrent neural networks with unsaturating piecewise linear transfer functions. 3809-3817
  
• Ning Wang, Meng Joo Er, Xianyao Meng:
  A fast and accurate online self-organizing scheme for parsimonious fuzzy neural networks. 3818-3829
  
• Yang Tang, Jian-An Fang, Min Xia, Dongmei Yu:
  Delay-distribution-dependent stability of stochastic discrete-time neural networks with randomly mixed time-varying delays. 3830-3838
  
• Jun Jiang, Jun Cheng, Xinglin Chen:
  Registration for 3-D point cloud using angular-invariant feature. 3839-3844
  
• Jianlong Qiu, Jinde Cao:
  Global synchronization of delay-coupled genetic oscillators. 3845-3850
  
• Girolamo Fornarelli, Antonio Giaquinto:
  Adaptive particle swarm optimization for CNN associative memories design. 3851-3862
  
• Fernando Agustin Pazos, Amit Bhaya:
  Control Liapunov function design of neural networks that solve convex optimization and variational inequality problems. 3863-3872
  
• Manli Li, Zhang Yi, Min Zhu:
  Solving TSP by using Lotka-Volterra neural networks. 3873-3880
  
• Huiyu Zhou, Patrick R. Green, Andrew M. Wallace:
  Estimation of epipolar geometry by linear mixed-effect modelling. 3881-3890
  
• Weisheng Chen, Yu-Ping Tian:
  Neural network approximation for periodically disturbed functions and applications to control design. 3891-3900
  
• Guanjun Wang, Jinde Cao, Ming Xu:
  Stability analysis for stochastic BAM neural networks with Markovian jumping parameters. 3901-3906
  
• Qiankun Song:
  Synchronization analysis of coupled connected neural networks with mixed time delays. 3907-3914
  
• T. Kathirvalavakumar, S. Jeyaseeli Subavathi:
  Neighborhood based modified backpropagation algorithm using adaptive learning parameters for training feedforward neural networks. 3915-3921
  
• Can Wang, Jun Zhao, Xiaofei He, Chun Chen, Jiajun Bu:
  Image retrieval using nonlinear manifold embedding. 3922-3929
  
• Xiaodong Li, Shumin Fei, Tao Zhang:
  Median MSD-based method for face recognition. 3930-3934
  
• Magdi S. Mahmoud:
  New exponentially convergent state estimation method for delayed neural networks. 3935-3942
  
• Niranjan P. Bidargaddi, Madhu Chetty, Joarder Kamruzzaman:
  Combining segmental semi-Markov models with neural networks for protein secondary structure prediction. 3943-3950