Volume 20, Number 1, January 2009

• 
  Li Feng Zhang, Quan Min Zhu, Ashley Longden: A Correlation-Test-Based Validation Procedure for Identified Neural Networks. 1-13
• 
  Irene Kotsia, Ioannis Pitas, Stefanos Zafeiriou: Novel Multiclass Classifiers Based on the Minimization of the Within-Class Variance. 14-34
• 
  Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama: Robust Label Propagation on Multiple Networks. 35-44
• 
  Heidar A. Talebi, Khashayar Khorasani, Siamak Tafazoli: A Recurrent Neural-Network-Based Sensor and Actuator Fault Detection and Isolation for Nonlinear Systems With Application to the Satellite's Attitude Control Subsystem. 45-60
• 
  Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini: The Graph Neural Network Model. 61-80
• 
  Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, Gabriele Monfardini: Computational Capabilities of Graph Neural Networks. 81-102
• 
  Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos: Uncorrelated Multilinear Discriminant Analysis With Regularization and Aggregation for Tensor Object Recognition. 103-123
• 
  J. P. F. Sum, Chi-Sing Leung, Kevin I.-J. Ho: On Objective Function, Regularizer, and Prediction Error of a Learning Algorithm for Dealing With Multiplicative Weight Noise. 124-138
• 
  Wei Zuo, Yang Zhu, Lilong Cai: Fourier-Neural-Network-Based Learning Control for a Class of Nonlinear Systems With Flexible Components. 139-151
• 
  Michael D. Muhlbaier, Apostolos Topalis, Robi Polikar: Learn⁺⁺.NC: Combining Ensemble of Classifiers With Dynamically Weighted Consult-and-Vote for Efficient Incremental Learning of New Classes. 152-168
• 
  Zhanshan Wang, Huaguang Zhang, Wen Yu: Robust Stability of Cohen-Grossberg Neural Networks via State Transmission Matrix. 169-174
• 
  Lan Zou, Huajin Tang, Kay Chen Tan, Weinian Zhang: Analysis of Continuous Attractors for 2-D Linear Threshold Neural Networks. 175-180
• 
  Hua-Liang Wei, S. A. Billings, Yifan Zhao, Lingzhong Guo: Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio-Temporal System Identification. 181-185

Volume 20, Number 2, February 2009

• 
  Pablo A. Estévez, M. Tesmer, Claudio A. Perez, Jacek M. Zurada: Normalized Mutual Information Feature Selection. 189-201
• 
  Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Patané: Learning Anticipation via Spiking Networks: Application to Navigation Control. 202-216
• 
  Stefanos Zafeiriou: Discriminant Nonnegative Tensor Factorization Algorithms. 217-235
• 
  Artemis K. Kostarigka, George A. Rovithakis: Adaptive Neural Network Tracking Control With Disturbance Attenuation for Multiple-Input Nonlinear Systems. 236-247
• 
  Chengjun Liu, Jian Yang: ICA Color Space for Pattern Recognition. 248-257
• 
  Nicolás García-Pedrajas: Constructing Ensembles of Classifiers by Means of Weighted Instance Selection. 258-277
• 
  Krzysztof Mossakowski, Jacek Mandziuk: Learning Without Human Expertise: A Case Study of the Double Dummy Bridge Problem. 278-299
• 
  Yuexian Hou, Peng Zhang, Xingxing Xu, Xiaowei Zhang, Wenjie Li: Nonlinear Dimensionality Reduction by Locally Linear Inlaying. 300-315
• 
  Mauro Ursino, Elisa Magosso, Cristiano Cuppini: Recognition of Abstract Objects Via Neural Oscillators: Interaction Among Topological Organization, Associative Memory and Gamma Band Synchronization. 316-335
• 
  Haris E. Psillakis: Sampled-Data Adaptive NN Tracking Control ofUncertainNonlinear Systems. 336-355
• 
  Hwee Choo Liaw, Bijan Shirinzadeh, Julian Smith: Robust Neural Network Motion Tracking Control of Piezoelectric Actuation Systems for Micro/Nanomanipulation. 356-367
• 
  Jiali Yu, Zhang Yi, Lei Zhang: Representations of Continuous Attractors of Recurrent Neural Networks. 368-372

Volume 20, Number 3, March 2009

• 
  Xing-Bao Gao, Li-Zhi Liao: A New Projection-Based Neural Network for Constrained Variational Inequalities. 373-388
• 
  Masaaki Tsujitani, Masato Sakon: Analysis of Survival Data Having Time-Dependent Covariates. 389-394
• 
  Jason R. Stack, Gerald J. Dobeck, Xuejun Liao, Lawrence Carin: Kernel-Matching Pursuits With Arbitrary Loss Functions. 395-405
• 
  Silvia Ferrari: Multiobjective Algebraic Synthesis of Neural Control Systems by Implicit Model Following. 406-419
• 
  Y. Yi, L. Guo, H. Wang: Adaptive Statistic Tracking Control Based on Two-Step Neural Networks With Time Delays. 420-429
• 
  Seiichi Ozawa, Asim Roy, Dmitri Roussinov: A Multitask Learning Model for Online Pattern Recognition. 430-445
• 
  Pornthep Rojanavasu, Hai Huong Dam, Hussein A. Abbass, Chris Lokan, Ouen Pinngern: A Self-Organized, Distributed, and Adaptive Rule-Based Induction System. 446-459
• 
  Laurent Gatet, Hélène Tap-Béteille, Francis Bony: Comparison Between Analog and Digital Neural Network Implementations for Range-Finding Applications. 460-470
• 
  Puya Ghasemi Afshar, Hong Wang, Tianyou Chai: An ILC-Based Adaptive Control for General Stochastic Systems With Strictly Decreasing Entropy. 471-482
• 
  Tianping Zhang, Shuzhi Sam Ge: Adaptive Neural Network Tracking Control of MIMO Nonlinear Systems With Unknown Dead Zones and Control Directions. 483-497
• 
  Alessio Micheli: Neural Network for Graphs: A Contextual Constructive Approach. 498-511
• 
  Daizhan Cheng: Input-State Approach to Boolean Networks. 512-521
• 
  Joon S. Lim: Finding Features for Real-Time Premature Ventricular Contraction Detection Using a Fuzzy Neural Network System. 522-527
• 
  Christos N. Houmkozlis, George A. Rovithakis: Fairness Guarantees in a Neural Network Adaptive Congestion Control Framework. 527-533
• 
  X.-M. Zhang, Q.-L. Han: New Lyapunov-Krasovskii Functionals for Global Asymptotic Stability of Delayed Neural Networks. 533-539
• 
  Christian Endisch, Peter Stolze, Christoph Hackl, Dierk Schröder: Comments on "Backpropagation Algorithms for a Broad Class of Dynamic Networks". 540-541
• 
  Philippe Thomas: Semi-Supervised Learning by Olivier Chapelle, Bernhard Schölkopf, and Alexander Zien (Review). 542
• 
  Wlodzislaw Duch, Jacek Mandziuk: Challenges for Computational Intelligence. 542-543
• 
  B. Pincibono: Random Signals and Systems. 543-545
• 
  L. Deng: Dynamic Speech Models - Theory, Algorithms, and Applications. 545-546
• 
  Krzysztof Patan, Maciej Patan: Corrigendum to "Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks". 547-548

Volume 20, Number 4, April 2009

• 
  Kadim Tasdemir, Erzsébet Merényi: Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps. 549-562
• 
  Abdul Wahab, Chai Quek, Chin Keong Tan, Kazuya Takeda: Driving Profile Modeling and Recognition Based on Soft Computing Approach. 563-582
• 
  Kai Zhang, Ivor W. Tsang, James T. Kwok: Maximum Margin Clustering Made Practical. 583-596
• 
  Ramin Pashaie, Nabil H. Farhat: Self-Organization in a Parametrically Coupled Logistic Map Network: A Model for Information Processing in the Visual Cortex. 597-608
• 
  Yiannis S. Boutalis, Dimitris C. Theodoridis, Manolis A. Christodoulou: A New Neuro-FDS Definition for Indirect Adaptive Control of Unknown Nonlinear Systems Using a Method of Parameter Hopping. 609-625
• 
  Nikola Gradojevic, Ramazan Gencay, Dragan Kukolj: Option Pricing With Modular Neural Networks. 626-637
• 
  E. de Weerdt, Q. P. Chu, J. A. Mulder: Neural Network Output Optimization Using Interval Analysis. 638-653
• 
  Xiaolin Hu, Bo Zhang: A New Recurrent Neural Network for Solving Convex Quadratic Programming Problems With an Application to the k -Winners-Take-All Problem. 654-664
• 
  Haiquan Zhao, Jiashu Zhang: Adaptively Combined FIR and Functional Link Artificial Neural Network Equalizer for Nonlinear Communication Channel. 665-674
• 
  Antoniya Georgieva, Ivan Jordanov: Intelligent Visual Recognition and Classification of Cork Tiles With Neural Networks. 675-685
• 
  Jason Horn, Orlando De Jesus, Martin T. Hagan: Spurious Valleys in the Error Surface of Recurrent Networks - Analysis and Avoidance. 686-700
• 
  Krzysztof Cpalka: A New Method for Design and Reduction of Neuro-Fuzzy Classification Systems. 701-714
• 
  Hong-Jie Xing, Bao-Gang Hu: Two-Phase Construction of Multilayer Perceptrons Using Information Theory. 715-721
• 
  Daewon Lee, Kyu-Hwan Jung, Jaewook Lee: Constructing Sparse Kernel Machines Using Attractors. 721-729
• 
  Yangqing Jia, Feiping Nie, Changshui Zhang: Trace Ratio Problem Revisited. 729-735
• 
  Lin Zhao, Ming Sun, Jian-hua Cheng, Yao-qun Xu: A Novel Chaotic Neural Network With the Ability to Characterize Local Features and Its Application. 735-742

Volume 20, Number 5, May 2009

• 
  Eric Sakk, David J. Schneider, Christopher R. Myers, Samuel W. Cartinhour: The Effect of Target Vector Selection on the Invariance of Classifier Performance Measures. 745-757
• 
  Yu Zhao, Chien Chern Cheah: Neural Network Control of Multifingered Robot Hands Using Visual Feedback. 758-767
• 
  Janusz A. Starzyk, Haibo He: Spatio-Temporal Memories for Machine Learning: A Long-Term Memory Organization. 768-780
• 
  Jinling Liang, Zidong Wang, Xiaohui Liu: State Estimation for Coupled Uncertain Stochastic Networks With Missing Measurements and Time-Varying Delays: The Discrete-Time Case. 781-793
• 
  David Angeli: Convergence in Networks With Counterclockwise Neural Dynamics. 794-804
• 
  Shih-Sian Cheng, Hsin-Chia Fu, Hsin-Min Wang: Model-Based Clustering by Probabilistic Self-Organizing Maps. 805-826
• 
  Mingqing Hu, Yiqiang Chen, James Tin-Yau Kwok: Building Sparse Multiple-Kernel SVM Classifiers. 827-839
• 
  Yi Shen, Jun Wang: Almost Sure Exponential Stability of Recurrent Neural Networks With Markovian Switching. 840-855
• 
  Chan Wai Ting, Chai Quek: A Novel Blood Glucose Regulation Using TSK⁰-FCMAC: A Fuzzy CMAC Based on the Zero-Ordered TSK Fuzzy Inference Scheme. 856-871
• 
  Sunan Huang, Kok Kiong Tan: Fault Detection and Diagnosis Based on Modeling and Estimation Methods. 872-881
• 
  Bin Zhao, Fei Wang, Changshui Zhang: Block-Quantized Support Vector Ordinal Regression. 882-890
• 
  Hatem A. Fayed, Amir F. Atiya: A Novel Template Reduction Approach for the K -Nearest Neighbor Method. 890-896
• 
  Weisheng Chen: Comments on "Discrete-Time Adaptive Backstepping Nonlinear Control via High-Order Neural Networks". 897-898

Volume 20, Number 6, June 2009

• 
  Huanhuan Chen, Peter Tino, Xin Yao: Probabilistic Classification Vector Machines. 901-914
• 
  Long Cheng, Zeng-Guang Hou, Min Tan: A Delayed Projection Neural Network for Solving Linear Variational Inequalities. 915-925
• 
  Dimitris Tzikas, Aristidis Likas, Nikolas P. Galatsanos: Sparse Bayesian Modeling With Adaptive Kernel Learning. 926-937
• 
  Faa-Jeng Lin, Syuan-Yi Chen, Kuo-Kai Shyu: Robust Dynamic Sliding-Mode Control Using Adaptive RENN for Magnetic Levitation System. 938-951
• 
  Zhang Yi, Lei Zhang, Jiali Yu, Kok Kiong Tan: Permitted and Forbidden Sets in Discrete-Time Linear Threshold Recurrent Neural Networks. 952-963
• 
  Akihito Sudo, Akihiro Sato, Osamu Hasegawa: Associative Memory for Online Learning in Noisy Environments Using Self-Organizing Incremental Neural Network. 964-972
• 
  Hongmei He, Zhenhuan Zhu, Erkki Mäkinen: A Neural Network Model to Minimize the Connected Dominating Set for Self-Configuration of Wireless Sensor Networks. 973-982
• 
  Wen Yu, José de Jesús Rubio: Recurrent Neural Networks Training With Stable Bounding Ellipsoid Algorithm. 983-991
• 
  Dongyue Chen, Liming Zhang, Juyang Weng: Spatio-Temporal Adaptation in the Unsupervised Development of Networked Visual Neurons. 992-1008
• 
  Elias B. Kosmatopoulos, Anastasios Kouvelas: Large Scale Nonlinear Control System Fine-Tuning Through Learning. 1009-1023
• 
  Wei Bian, Xiaoping Xue: Subgradient-Based Neural Networks for Nonsmooth Nonconvex Optimization Problems. 1024-1038
• 
  Maria Bortman, Mayer Aladjem: A Growing and Pruning Method for Radial Basis Function Networks. 1039-1045
• 
  Marcos Eduardo Valle: A Class of Sparsely Connected Autoassociative Morphological Memories for Large Color Images. 1045-1050
• 
  Huisheng Zhang, Wei Wu, Fei Liu, Mingchen Yao: Boundedness and Convergence of Online Gradient Method With Penalty for Feedforward Neural Networks. 1050-1054
• 
  Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone: A Convergent Hybrid Decomposition Algorithm Model for SVM Training. 1055-1060

Volume 20, Number 7, July 2009

• 
  Thomas Martinetz, Kai Labusch, Daniel Schneegaß: SoftDoubleMaxMinOver: Perceptron-Like Training of Support Vector Machines. 1061-1072
• 
  Alexander A. Frolov, Dusan Húsek, Pavel Yu. Polyakov: Recurrent-Neural-Network-Based Boolean Factor Analysis and Its Application to Word Clustering. 1073-1086
• 
  Julie Carreau, Yoshua Bengio: A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions. 1087-1101
• 
  Yurong Liu, Zidong Wang, Jinling Liang, Xiaohui Liu: Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays. 1102-1116
• 
  Abhijeet V. Nandedkar, Prabir K. Biswas: A Granular Reflex Fuzzy Min-Max Neural Network for Classification. 1117-1134
• 
  Gábor Orosz, Peter Ashwin, Stuart Townley: Learning of Spatio-Temporal Codes in a Coupled Oscillator System. 1135-1147
• 
  Beibei Ren, Shuzhi Sam Ge, Tong Heng Lee, Chun-Yi Su: Adaptive Neural Control for a Class of Nonlinear Systems With Uncertain Hysteresis Inputs and Time-Varying State Delays. 1148-1164
• 
  Yonghui Xia, Zijiang Yang, Maoan Han: Lag Synchronization of Unknown Chaotic Delayed Yang-Yang-Type Fuzzy Neural Networks With Noise Perturbation Based on Adaptive Control and Parameter Identification. 1165-1180
• 
  Grigorios Tzortzis, Aristidis Likas: The Global Kernel k -Means Algorithm for Clustering in Feature Space. 1181-1194
• 
  Umut Ozertem, Deniz Erdogmus: RKHS Bayes Discriminant: A Subspace Constrained Nonlinear Feature Projection for Signal Detection. 1195-1203
• 
  Jang-Hyun Park, Seong-Hwan Kim, Chae-Joo Moon: Adaptive Neural Control for Strict-Feedback Nonlinear Systems Without Backstepping. 1204-1209
• 
  Sung Jin Yoo, Jin Bae Park, Yoon Ho Choi: Adaptive Neural Control for a Class of Strict-Feedback Nonlinear Systems With State Time Delays. 1209-1215
• 
  Zhenbing Liu, J. G. Liu, Chao Pan, Guoyou Wang: A Novel Geometric Approach to Binary Classification Based on Scaled Convex Hulls. 1215-1220

Volume 20, Number 8, August 2009

• 
  Kevin Stanley McFall, James Robert Mahan: Artificial Neural Network Method for Solution of Boundary Value Problems With Exact Satisfaction of Arbitrary Boundary Conditions. 1221-1233
• 
  Alex Weissensteiner: A Q -Learning Approach to Derive Optimal Consumption and Investment Strategies. 1234-1243
• 
  Wing Yee Sit, Lee Onn Mak, Gee Wah Ng: Managing Category Proliferation in Fuzzy ARTMAP Caused by Overlapping Classes. 1244-1253
• 
  Jean-François Connolly, Richard Labib: A Multiscale Scheme for Approximating the Quantron's Discriminating Function. 1254-1266
• 
  Jinmiao Chen, Narendra S. Chaudhari: Segmented-Memory Recurrent Neural Networks. 1267-1280
• 
  Sylvain Chartier, Mounir Boukadoum, Mahmood Amiri: BAM Learning of Nonlinearly Separable Tasks by Using an Asymmetrical Output Function and Reinforcement Learning. 1281-1292
• 
  Fangyue Chen, Guanrong Chen, Qinbin He, Guolong He, Xiubin Xu: Universal Perceptron and DNA-Like Learning Algorithm for Binary Neural Networks: Non-LSBF Implementation. 1293-1301
• 
  Hanlin Goh, Joo-Hwee Lim, Chai Quek: Fuzzy Associative Conjuncted Maps Network. 1302-1319
• 
  Vahram Stepanyan, Andrew Kurdila: Asymptotic Tracking of Uncertain Systems With Continuous Control Using Adaptive Bounding. 1320-1329
• 
  Yu Zhao, Huijun Gao, James Lam, Ke Chen: Stability Analysis of Discrete-Time Recurrent Neural Networks With Stochastic Delay. 1330-1339
• 
  Wei Lin, Guanrong Chen: Large Memory Capacity in Chaotic Artificial Neural Networks: A View of the Anti-Integrable Limit. 1340-1351
• 
  Guorui Feng, Guang-Bin Huang, Qingping Lin, Robert Kheng Leng Gay: Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning. 1352-1357
• 
  Abd-Krim Seghouane: Model Selection Criteria for Image Restoration. 1357-1363
• 
  Leonid I. Perlovsky: "Vague-to-Crisp" Neural Mechanism of Perception. 1363-1367
• 
  Michael R. W. Dawson, Brian Dupuis, Marcia Spetch, Debbie M. Kelly: Simple Artificial Neural Networks That Match Probability and Exploit and Explore When Confronting a Multiarmed Bandit. 1368-1371
• 
  Jacques M. Bahi, Sylvain Contassot-Vivier: Corrections to "Basins of Attraction in Fully Asynchronous Discrete-Time Discrete-State Dynamic Networks" [Mar 06 397-408]. 1372-1374

Volume 20, Number 9, September 2009

• 
  Chih-Min Lin, Te-Yu Chen: Self-Organizing CMAC Control for a Class of MIMO Uncertain Nonlinear Systems. 1377-1384
• 
  Tommy W. S. Chow, M. K. M. Rahman: Multilayer SOM With Tree-Structured Data for Efficient Document Retrieval and Plagiarism Detection. 1385-1402
• 
  Paulo J. G. Lisboa, Terence A. Etchells, Ian H. Jarman, Corneliu T. C. Arsene, Min S. Hane Aung, Antonio Eleuteri, Azzam Fouad George Taktak, Federico Ambrogi, Patrizia Boracchi, Elia Biganzoli: Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination. 1403-1416
• 
  Rafael Serrano-Gotarredona, Matthias Oster, Patrick Lichtsteiner, Alejandro Linares-Barranco, Rafael Paz-Vicente, Francisco Gomez-Rodriguez, Luis A. Camuñas-Mesa, Raphael Berner, Manuel Rivas Pérez, Tobi Delbrück, Shih-Chii Liu, Rodney J. Douglas, Philipp Häfliger, Gabriel Jiménez-Moreno, Anton Civit-Ballcels, Teresa Serrano-Gotarredona, Antonio Acosta-Jimenez, Bernabé Linares-Barranco: CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory-Processing- Learning-Actuating System for High-Speed Visual Object Recognition and Tracking. 1417-1438
• 
  Isaac Chairez: Wavelet Differential Neural Network Observer. 1439-1449
• 
  Erich Fuchs, Christian Gruber, Tobias Reitmaier, Bernhard Sick: Processing Short-Term and Long-Term Information With a Combination of Polynomial Approximation Techniques and Time-Delay Neural Networks. 1450-1462
• 
  Gouhei Tanaka, Kazuyuki Aihara: Complex-Valued Multistate Associative Memory With Nonlinear Multilevel Functions for Gray-Level Image Reconstruction. 1463-1473
• 
  Ezequiel López-Rubio, Juan Miguel Ortiz-de-Lazcano-Lobato, Domingo López-Rodríguez: Probabilistic PCA Self-Organizing Maps. 1474-1489
• 
  Huaguang Zhang, Yanhong Luo, Derong Liu: Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control Constraints. 1490-1503
• 
  Davood Golmohammadi, Robert C. Creese, Haleh Valian, John Kolassa: Supplier Selection Based on a Neural Network Model Using Genetic Algorithm. 1504-1519
• 
  Haris E. Psillakis: Projection-Based Adaptive Neurocontrol With Switching Logic Deadzone Tuning. 1520-1527

Volume 20, Number 10, October 2009

• 
  Zongben Xu, Rui Zhang, Wenfeng Jing: When Does Online BP Training Converge? 1529-1539
• 
  Ján Dolinský, Hideyuki Takagi: Analysis and Modeling of Naturalness in Handwritten Characters. 1540-1553
• 
  Tingting Chen, Sheng Zhong: Privacy-Preserving Backpropagation Neural Network Learning. 1554-1564
• 
  S. Easter Selvan, Alexandru Mustatea, C. Cecil Xavier, Jean Sequeira: Accurate Estimation of ICA Weight Matrix by Implicit Constraint Imposition Using Lie Group. 1565-1580
• 
  Lili Wang, Wenlian Lu, Tianping Chen: Multistability and New Attraction Basins of Almost-Periodic Solutions of Delayed Neural Networks. 1581-1593
• 
  Hong Chen, Luoqing Li: Semisupervised Multicategory Classification With Imperfect Model. 1594-1603
• 
  Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh: Granular Neural Networks and Their Development Through Context-Based Clustering and Adjustable Dimensionality of Receptive Fields. 1604-1616
• 
  Jianquan Lu, Daniel W. C. Ho, Zidong Wang: Pinning Stabilization of Linearly Coupled Stochastic Neural Networks via Minimum Number of Controllers. 1617-1629
• 
  Huai-Ning Wu, Han-Xiong Li: Adaptive Neural Control Design for Nonlinear Distributed Parameter Systems With Persistent Bounded Disturbances. 1630-1644
• 
  Fangyue Chen, Guanrong Chen, Guolong He, Xiubin Xu, Qinbin He: Universal Perceptron and DNA-Like Learning Algorithm for Binary Neural Networks: LSBF and PBF Implementations. 1645-1658
• 
  Woon Jeung Park, Rhee Man Kil: Pattern Classification With Class Probability Output Network. 1659-1673
• 
  John McElroy, Paul D. Gader: Generalized Encoding and Decoding Operators for Lattice-Based Associative Memories. 1674-1678
• 
  Jin Zhou, Wenwu Yu, Xiumin Li, Michael Small, Junan Lu: Identifying the Topology of a Coupled FitzHugh-Nagumo Neurobiological Network via a Pinning Mechanism. 1679-1684

Volume 20, Number 11, November 2009

• 
  Franck Dufrenois, Johan Colliez, Denis Hamad: Bounded Influence Support Vector Regression for Robust Single-Model Estimation. 1689-1706
• 
  Kostyantyn Y. Volyanskyy, Wassim M. Haddad, Anthony J. Calise: A New Neuroadaptive Control Architecture for Nonlinear Uncertain Dynamical Systems: Beyond sigma- and e-Modifications. 1707-1723
• 
  Hong Qu, Simon X. Yang, Allan R. Willms, Zhang Yi: Real-Time Robot Path Planning Based on a Modified Pulse-Coupled Neural Network Model. 1724-1739
• 
  Wing-Cheong Wong, Siu-Yeung Cho, Chai Quek: R-POPTVR: A Novel Reinforcement-Based POPTVR Fuzzy Neural Network for Pattern Classification. 1740-1755
• 
  Antonio Peñalver Benavent, Francisco Escolano Ruiz, Juan Manuel Sáez: Learning Gaussian Mixture Models With Entropy-Based Criteria. 1756-1771
• 
  Eric K. C. Tsang, Bertram Emil Shi: Disparity Estimation by Pooling Evidence From Energy Neurons. 1772-1782
• 
  Kazuho Watanabe, Shotaro Akaho, Shinichiro Omachi, Masato Okada: Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions. 1783-1796
• 
  Ke Qin, B. John Oommen: Adachi-Like Chaotic Neural Networks Requiring Linear-Time Computations by Enforcing a Tree-Shaped Topology. 1797-1809
• 
  Guoxu Zhou, Shengli Xie, Zuyuan Yang, Jun Zhang: Nonorthogonal Approximate Joint Diagonalization With Well-Conditioned Diagonalizers. 1810-1819
• 
  Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos: Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning. 1820-1836
• 
  Antonio Giaquinto, Girolamo Fornarelli: PSO-Based Cloning Template Design for CNN Associative Memories. 1837-1841
• 
  Lan Zou, Huajin Tang, Kay Chen Tan, Weinian Zhang: Nontrivial Global Attractors in 2-D Multistable Attractor Neural Networks. 1842-1851

Volume 20, Number 12, December 2009

• 
  Marios M. Polycarpou: Editorial: Renewal for the IEEE Transactions on Neural Networks. 1857
• 
  Mathias M. Adankon, Mohamed Cheriet, Alain Biem: Semisupervised Least Squares Support Vector Machine. 1858-1870
• 
  Guoshen Yu, Jean-Jacques E. Slotine: Visual Grouping by Neural Oscillator Networks. 1871-1884
• 
  João P. Ferreira, Manuel M. Crisóstomo, A. Paulo Coimbra: SVR Versus Neural-Fuzzy Network Controllers for the Sagittal Balance of a Biped Robot. 1885-1897
• 
  Gianluca Monaci, Pierre Vandergheynst, Friedrich T. Sommer: Learning Bimodal Structure in Audio-Visual Data. 1898-1910
• 
  Jian-Bo Yang, Kai Quan Shen, Chong Jin Ong, Xiao Ping Li: Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs. 1911-1922
• 
  Frédéric Mustière, Miodrag Bolic, Martin Bouchard: Speech Enhancement Based on Nonlinear Models Using Particle Filters. 1923-1937
• 
  Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti: Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data. 1938-1949
• 
  Weifeng Liu, Il Park, José C. Príncipe: An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters. 1950-1961
• 
  Huanhuan Chen, Xin Yao: Regularized Negative Correlation Learning for Neural Network Ensembles. 1962-1979
• 
  Kun Zhan, Hongjuan Zhang, Yide Ma: New Spiking Cortical Model for Invariant Texture Retrieval and Image Processing. 1980-1986
• 
  Tze-Yui Ho, Chi-Sing Leung, Ping-Man Lam, Tien-Tsin Wong: Efficient Relighting of RBF-Based Illumination Adjustable Images. 1987-1993
• 
  David Applebaum: Extending Stochastic Resonance for Neuron Models to General Lévy Noise. 1993-1995

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