Volume 19, Number 1, January 2008

• 
  Marios M. Polycarpou: Editorial: A New Era for the IEEE Transactions on Neural Networks. 1-2
• 
  Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal: A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles. 3-17
• 
  Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos: MPCA: Multilinear Principal Component Analysis of Tensor Objects. 18-39
• 
  Fernando Fernández, Pedro Isasi: Local Feature Weighting in Nearest Prototype Classification. 40-53
• 
  Rong-Jong Wai, Jeng-Dao Lee: Adaptive Fuzzy-Neural-Network Control for Maglev Transportation System. 54-70
• 
  Xinzhi Liu, Qing Wang: Impulsive Stabilization of High-Order Hopfield-Type Neural Networks With Time-Varying Delays. 71-79
• 
  Tomohisa Hayakawa, Wassim M. Haddad, Naira Hovakimyan: Neural Network Adaptive Control for a Class of Nonlinear Uncertain Dynamical Systems With Asymptotic Stability Guarantees. 80-89
• 
  Z. Chen, Sarangapani Jagannathan: Generalized Hamilton-Jacobi-Bellman Formulation -Based Neural Network Control of Affine Nonlinear Discrete-Time Systems. 90-106
• 
  Youshen Xia, Mohamed S. Kamel: A Generalized Least Absolute Deviation Method for Parameter Estimation of Autoregressive Signals. 107-118
• 
  Jian Xun Peng, Kang Li, George W. Irwin: A New Jacobian Matrix for Optimal Learning of Single-Layer Neural Networks. 119-129
• 
  Mehmet Gönen, Ayse Gönül Tanugur, Ethem Alpaydin: Multiclass Posterior Probability Support Vector Machines. 130-139
• 
  Z. Yuan, L. Huang, D. Hu, B. Liu: Convergence of Nonautonomous Cohen-Grossberg-Type Neural Networks With Variable Delays. 140-147
• 
  Manli Zhu, Aleix M. Martínez: Pruning Noisy Bases in Discriminant Analysis. 148-157
• 
  Lei Zhang, Zhang Yi, Jiali Yu: Multiperiodicity and Attractivity of Delayed Recurrent Neural Networks With Unsaturating Piecewise Linear Transfer Functions. 158-167
• 
  A. Ravishankar Rao, Guillermo A. Cecchi, Charles C. Peck, James Kozloski: Unsupervised Segmentation With Dynamical Units. 168-182
• 
  Mo Chen, Temujin Gautama, Danilo P. Mandic: An Assessment of Qualitative Performance of Machine Learning Architectures: Modular Feedback Networks. 183-189
• 
  Q. Tao, D. Chu, J. Wang: Recursive Support Vector Machines for Dimensionality Reduction. 189-193
• 
  Xia Hong, Sheng Chen, Chris J. Harris: A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation. 193-198
• 
  D. Wang, G. Brown: Computational Auditory Scene Analysis: Principles, Algorithms, and Applications. 199

Volume 19, Number 2, February 2008

• 
  Jer-Guang Hsieh, Yih-Lon Lin, Jyh-Horng Jeng: Preliminary Study on Wilcoxon Learning Machines. 201-211
• 
  Benny B. Nasution, Asad I. Khan: A Hierarchical Graph Neuron Scheme for Real-Time Pattern Recognition. 212-229
• 
  Ah-Hwee Tan, N. Lu, Dan Xiao: Integrating Temporal Difference Methods and Self-Organizing Neural Networks for Reinforcement Learning With Delayed Evaluative Feedback. 230-244
• 
  Gary G. Yen, Zhen Wu: Ranked Centroid Projection: A Data Visualization Approach With Self-Organizing Maps. 245-259
• 
  Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu: Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. 260-272
• 
  Zhishun Wang, Bradley S. Peterson: Constrained Least Absolute Deviation Neural Networks. 273-283
• 
  Juan Ignacio Mulero Martínez: Best Approximation of Gaussian Neural Networks With Nodes Uniformly Spaced. 284-298
• 
  Rudy Setiono, Bart Baesens, Christophe Mues: Recursive Neural Network Rule Extraction for Data With Mixed Attributes. 299-307
• 
  Derong Liu, Zhongyu Pang, Stephen R. Lloyd: A Neural Network Method for Detection of Obstructive Sleep Apnea and Narcolepsy Based on Pupil Size and EEG. 308-318
• 
  Wei Wu, Tianping Chen: Global Synchronization Criteria of Linearly Coupled Neural Network Systems With Time-Varying Coupling. 319-332
• 
  Renzo Perfetti, Elisa Ricci: Recurrent Correlation Associative Memories: A Feature Space Perspective. 333-345
• 
  Anke Meyer-Bäse, Vera Thümmler: Local and Global Stability Analysis of an Unsupervised Competitive Neural Network. 346-351
• 
  Wu Yilei, Song Qing, Liu Sheng: A Normalized Adaptive Training of Recurrent Neural Networks With Augmented Error Gradient. 351-356
• 
  M. Fatih Amasyali, Okan K. Ersoy: Cline: A New Decision-Tree Family. 356-363
• 
  Loris Nanni, Alessandra Lumini: Evolved Feature Weighting for Random Subspace Classifier. 363-366
• 
  H. Zhang, Y. Wang: Stability Analysis of Markovian Jumping Stochastic Cohen-Grossberg Neural Networks With Mixed Time Delays. 366-370
• 
  Cheol-Taek Kim, Ju-Jang Lee: Training Two-Layered Feedforward Networks With Variable Projection Method. 371-375
• 
  Sergios Theodoridis, Konstantinos Koutroumbas: Pattern Recognition. 376
• 
  Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk: Nearest-Neighbor Methods in Learning and Vision. 377

Volume 19, Number 3, March 2008

• 
  Debrup Chakraborty, Nikhil R. Pal: Selecting Useful Groups of Features in a Connectionist Framework. 381-396
• 
  Xin-Ge Liu, Ralph R. Martin, Min Wu, Mei-Lan Tang: Global Exponential Stability of Bidirectional Associative Memory Neural Networks With Time Delays. 397-407
• 
  Hualiang Li, Tülay Adali: A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function. 408-420
• 
  Petr Tichavský, Zbynek Koldovský, Arie Yeredor, Germán Gómez-Herrero, Eran Doron: A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach. 421-430
• 
  Enrique Romero, Josep M. Sopena: Performing Feature Selection With Multilayer Perceptrons. 431-441
• 
  Dominik Brugger, Martin Bogdan, Wolfgang Rosenstiel: Automatic Cluster Detection in Kohonen's SOM. 442-459
• 
  Jianming Lian, Yonggon Lee, Scott D. Sudhoff, Stanislaw H. Zak: Self-Organizing Radial Basis Function Network for Real-Time Approximation of Continuous-Time Dynamical Systems. 460-474
• 
  Michael Syskind Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems: Two-Microphone Separation of Speech Mixtures. 475-492
• 
  Chi-Sing Leung, J. P. F. Sum: A Fault-Tolerant Regularizer for RBF Networks. 493-507
• 
  Kenneth E. Hild II, Hagai Thomas Attias, Srikantan S. Nagarajan: An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model. 508-519
• 
  Jinde Cao, Fengli Ren: Exponential Stability of Discrete-Time Genetic Regulatory Networks With Delays. 520-523
• 
  Ning Jin, Derong Liu: Wavelet Basis Function Neural Networks for Sequential Learning. 523-528
• 
  Yi Shen, Jun Wang: An Improved Algebraic Criterion for Global Exponential Stability of Recurrent Neural Networks With Time-Varying Delays. 528-531
• 
  Shaoshuai Mou, Huijun Gao, James Lam, Wenyi Qiang: A New Criterion of Delay-Dependent Asymptotic Stability for Hopfield Neural Networks With Time Delay. 532-535
• 
  Rubin Wang, Zhikang Zhang, Guanrong Chen: Energy Function and Energy Evolution on Neuronal Populations. 535-538
• 
  Cristian Filici: On a Neural Approximator to ODEs. 539-543
• 
  George M. Georgiou: Complex-Valued Neural Networks (Hirose, A.; 2006) [Book review]. 544

Volume 19, Number 4, April 2008

• 
  Xuyang Lou, Baotong Cui: Delay-Dependent Criteria for Global Robust Periodicity of Uncertain Switched Recurrent Neural Networks With Time-Varying Delay. 549-557
• 
  Qingshan Liu, Jun Wang: A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming. 558-570
• 
  Haixian Wang, Sibao Chen, Zilan Hu, Wenming Zheng: Locality-Preserved Maximum Information Projection. 571-585
• 
  David Masip, Jordi Vitrià: Shared Feature Extraction for Nearest Neighbor Face Recognition. 586-595
• 
  Mike Novey, Tülay Adali: Complex ICA by Negentropy Maximization. 596-609
• 
  Ivor Wai-Hung Tsang, András Kocsor, James Tin-Yau Kwok: Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines. 610-624
• 
  A. Singh, Hiok Chai Quek, Siu-Yeung Cho: DCT-Yager FNN: A Novel Yager-Based Fuzzy Neural Network With the Discrete Clustering Technique. 625-644
• 
  Snorre Aunet, Bengt Oelmann, P. A. Norseng, Yngvar Berg: Real-Time Reconfigurable Subthreshold CMOS Perceptron. 645-657
• 
  Michael J. Mendenhall, Erzsébet Merényi: Relevance-Based Feature Extraction for Hyperspectral Images. 658-672
• 
  Changchun Hua, Xinping Guan: Output Feedback Stabilization for Time-Delay Nonlinear Interconnected Systems Using Neural Networks. 673-688
• 
  Sintiani Dewi Teddy, Chai Quek, Edmund Ming-Kit Lai: PSECMAC: A Novel Self-Organizing Multiresolution Associative Memory Architecture. 689-712
• 
  Yoshua Bengio, Jean-Sébastien Senecal: Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model. 713-722
• 
  Luis González Abril, Cecilio Angulo, Francisco Velasco, Juan Antonio Ortega: A Note on the Bias in SVMs for Multiclassification. 723-725
• 
  Tao Li, Lei Guo, Changyin Sun, Chong Lin: Further Results on Delay-Dependent Stability Criteria of Neural Networks With Time-Varying Delays. 726-730
• 
  Edgar N. Sanchez, Alma Y. Alanis: Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches (Farrell, J.A. and Polycarpou, M.M. [Book review]. 731-732

Volume 19, Number 5, May 2008

• 
  Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo: Symmetric RBF Classifier for Nonlinear Detection in Multiple-Antenna-Aided Systems. 737-745
• 
  Huicheng Zheng, Grégoire Lefebvre, Christophe Laurent: Fast-Learning Adaptive-Subspace Self-Organizing Map: An Application to Saliency-Based Invariant Image Feature Construction. 746-757
• 
  Zhe Wang, Songcan Chen, Jun Liu, Daoqiang Zhang: Pattern Representation in Feature Extraction and Classifier Design: Matrix Versus Vector. 758-769
• 
  Josep Freixas, Xavier Molinero: The Greatest Allowed Relative Error in Weights and Threshold of Strict Separating Systems. 770-781
• 
  Bo Gao, Weinian Zhang: Equilibria and Their Bifurcations in a Recurrent Neural Network Involving Iterates of a Transcendental Function. 782-794
• 
  Huai-Ning Wu, Han-Xiong Li: A Galerkin/Neural-Network-Based Design of Guaranteed Cost Control for Nonlinear Distributed Parameter Systems. 795-807
• 
  Min Qi, G. Peter Zhang: Trend Time-Series Modeling and Forecasting With Neural Networks. 808-816
• 
  Qing Song, James C. Spall, Yeng Chai Soh, Jie Ni: Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation. 817-835
• 
  S. Trenn: Multilayer Perceptrons: Approximation Order and Necessary Number of Hidden Units. 836-844
• 
  Wenwu Yu, Jinde Cao, Guanrong Chen: Stability and Hopf Bifurcation of a General Delayed Recurrent Neural Network. 845-854
• 
  Huaguang Zhang, Zhanshan Wang, Derong Liu: Global Asymptotic Stability of Recurrent Neural Networks With Multiple Time-Varying Delays. 855-873
• 
  S. Gazut, J.-M. Martinez, Gérard Dreyfus, Yacine Oussar: Towards the Optimal Design of Numerical Experiments. 874-882
• 
  Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada, Jaakko Astola: Blur Identification by Multilayer Neural Network Based on Multivalued Neurons. 883-898
• 
  Katherine L. Cameron, Alan F. Murray: Minimizing the Effect of Process Mismatch in a Neuromorphic System Using Spike-Timing-Dependent Adaptation. 899-913
• 
  Randa Herzallah, David Lowe: A Bayesian Perspective on Stochastic Neurocontrol. 914-924
• 
  Wlodzislaw Duch: Robot Brains. Circuits and Systems for Conscious Machines (P. Haikonen; 2007) [Book review]. 925-926

Volume 19, Number 6, June 2008

• 
  Roman Ilin, Robert Kozma, Paul J. Werbos: Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator. 929-937
• 
  Charlotte Yuk-Fan Ho, Bingo Wing-Kuen Ling, Hak-Keung Lam, Muhammad H. U. Nasir: Global Convergence and Limit Cycle Behavior of Weights of Perceptron. 938-947
• 
  Dong-Chul Park, Oh-Hyun Kwon, Jio Chung: Centroid Neural Network With a Divergence Measure for GPDF Data Clustering. 948-957
• 
  Kuo-Kai Shyu, Ming-Huan Lee, Yu-Te Wu, Po-Lei Lee: Implementation of Pipelined FastICA on FPGA for Real-Time Blind Source Separation. 958-970
• 
  Norikazu Takahashi, Jun Guo, Tetsuo Nishi: Global Convergence of SMO Algorithm for Support Vector Regression. 971-982
• 
  Yinyin Liu, Janusz A. Starzyk, Zhen Zhu: Optimized Approximation Algorithm in Neural Networks Without Overfitting. 983-995
• 
  Silvia Ferrari, Mark Jensenius: A Constrained Optimization Approach to Preserving Prior Knowledge During Incremental Training. 996-1009
• 
  Yicong Meng, Bertram Emil Shi: Adaptive Gain Control for Spike-Based Map Communication in a Neuromorphic Vision System. 1010-1021
• 
  Hao Shen, Martin Kleinsteuber, Knut Hüper: Local Convergence Analysis of FastICA and Related Algorithms. 1022-1032
• 
  Claudio Turchetti, Paolo Crippa, Massimiliano Pirani, Giorgio Biagetti: Representation of Nonlinear Random Transformations by Non-Gaussian Stochastic Neural Networks. 1033-1060
• 
  Seiichi Ozawa, Shaoning Pang, Nikola K. Kasabov: Incremental Learning of Chunk Data for Online Pattern Classification Systems. 1061-1074
• 
  Jun Xu, Yong-Yan Cao, Youxian Sun, Jinshan Tang: Absolute Exponential Stability of Recurrent Neural Networks With Generalized Activation Function. 1075-1089
• 
  Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas: Nonnegative Matrix Factorization in Polynomial Feature Space. 1090-1100
• 
  Antony Browne, Angela Jakary, S. Vinogradov, Yu Fu, Raymond Deicken: Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia. 1101-1107
• 
  Alberto Faro, Daniela Giordano, Concetto Spampinato: Evaluation of the Traffic Parameters in a Metropolitan Area by Fusing Visual Perceptions and CNN Processing of Webcam Images. 1108-1129
• 
  A. de Medeiros Brito, Adrião Duarte Dória Neto, Jorge Dantas de Melo, L. M. Garcia Goncalves: An Adaptive Learning Approach for 3-D Surface Reconstruction From Point Clouds. 1130-1140
• 
  Laxmidhar Behera, Swagat Kumar, Awhan Patnaik: Corrections to "On Adaptive Learning Rate That Guarantees Convergence in Feedforward Networks" [Sep 06 1116-1125]. 1141
• 
  Péter Érdi: Neurodynamics of Cognition and Consciousness (Perlovsky, L.I. and Kozma, R., Eds.; 2007) [Book review]. 1142

Volume 19, Number 7, July 2008

• 
  Cesare Alippi, Manuel Roveri: Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes. 1145-1153
• 
  Dongbing Gu: Distributed EM Algorithm for Gaussian Mixtures in Sensor Networks. 1154-1166
• 
  Yumao Lu, Vwani P. Roychowdhury, Lieven Vandenberghe: Distributed Parallel Support Vector Machines in Strongly Connected Networks. 1167-1178
• 
  Wei Qiao, Ronald G. Harley, Ganesh K. Venayagamoorthy: Fault-Tolerant Indirect Adaptive Neurocontrol for a Static Synchronous Series Compensator in a Power Network With Missing Sensor Measurements. 1179-1195
• 
  Rafael Serrano-Gotarredona, Teresa Serrano-Gotarredona, Antonio Acosta-Jimenez, Carmen Serrano-Gotarredona, José Antonio Pérez-Carrasco, Bernabé Linares-Barranco, Alejandro Linares-Barranco, Gabriel Jiménez-Moreno, Anton Civit-Ballcels: On Real-Time AER 2-D Convolutions Hardware for Neuromorphic Spike-Based Cortical Processing. 1196-1219
• 
  Ting-Li Chien, Chung-Cheng Chen, Yi-Chieh Huang, Wen-Jiun Lin: Stability and Almost Disturbance Decoupling Analysis of Nonlinear System Subject to Feedback Linearization and Feedforward Neural Network Controller. 1220-1230
• 
  Ugur Yuzgec, Yasar Becerikli, Mustafa Türker: Dynamic Neural-Network-Based Model-Predictive Control of an Industrial Baker's Yeast Drying Process. 1231-1242
• 
  Murad Abu-Khalaf, Frank L. Lewis, Jie Huang: Neurodynamic Programmingand Zero-Sum Games for Constrained Control Systems. 1243-1252
• 
  Kenji Nagata, Sumio Watanabe: Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines. 1253-1266
• 
  Lipo Wang, Nina Zhou, Feng Chu: A General Wrapper Approach to Selection of Class-Dependent Features. 1267-1278
• 
  Chaomin Luo, Simon X. Yang: A Bioinspired Neural Network for Real-Time Concurrent Map Building and Complete Coverage Robot Navigation in Unknown Environments. 1279-1298
• 
  Dong Yue, Yijun Zhang, Engang Tian, Chen Peng: Delay-Distribution-Dependent Exponential Stability Criteria for Discrete-Time Recurrent Neural Networks With Stochastic Delay. 1299-1306
• 
  Fei Wang, Changshui Zhang: Semisupervised Learning Based on Generalized Point Charge Models. 1307-1311

Volume 19, Number 8, August 2008

• 
  Florent Cousseau, Tomoko Ozeki, Shun-ichi Amari: Dynamics of Learning in Multilayer Perceptrons Near Singularities. 1313-1328
• 
  He Huang, Gang Feng, Jinde Cao: Robust State Estimation for Uncertain Neural Networks With Time-Varying Delay. 1329-1339
• 
  Youshen Xia, Gang Feng, Jun Wang: A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints. 1340-1353
• 
  Xin Geng, Zhi-Hua Zhou, Kate Smith-Miles: Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions. 1354-1368
• 
  Peter Shih, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier: Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation. 1369-1388
• 
  Eyal Kolman, Michael Margaliot: A New Approach to Knowledge-Based Design of Recurrent Neural Networks. 1389-1401
• 
  Gerardo Noriega: A Neural Model for Compensation of Sensory Abnormalities in Autism Through Feedback From a Measure of Global Perception. 1402-1414
• 
  Douglas A. G. Vieira, Ricardo H. C. Takahashi, Vasile Palade, João A. Vasconcelos, Walmir M. Caminhas: The Q -Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem. 1415-1430
• 
  Shuning Wang, Xiaolin Huang, K. M. Khan Junaid: Configuration of Continuous Piecewise-Linear Neural Networks. 1431-1445
• 
  Liefeng Bo, Ling Wang, Licheng Jiao: Training Hard-Margin Support Vector Machines Using Greedy Stagewise Algorithm. 1446-1455
• 
  Cristiano Cervellera, Danilo Macciò, Marco Muselli: Deterministic Learning for Maximum-Likelihood Estimation Through Neural Networks. 1456-1467
• 
  Nikolaos Gianniotis, Peter Tiño: Visualization of Tree-Structured Data Through Generative Topographic Mapping. 1468-1493
• 
  L. P. Wang, C. R. Wan: Comments on "The Extreme Learning Machine". 1494-1495
• 
  Guang-Bin Huang: Reply to "Comments on "The Extreme Learning Machine"". 1495-1496
• 
  Sung Jin Yoo, Jin Bae Park, Yoon Ho Choi: Comments on "Adaptive Neural Control for a Class of Nonlinearly Parametric Time-Delay Systems". 1496-1498
• 
  Daniel W. C. Ho, Junmin Li, Yugang Niu: Reply to "Comments on "Adaptive Neural Control for a Class of Nonlinearly Parametric Time-Delay Systems"". 1498
• 
  W. Klonowski: Complexity Explained (Erdi, P.; 2008) [Book review]. 1499

Volume 19, Number 9, September 2008

• 
  Johan A. K. Suykens: Data Visualization and Dimensionality Reduction Using Kernel Maps With a Reference Point. 1501-1517
• 
  Georg Pölzlbauer, Thomas Lidy, Andreas Rauber: Decision Manifolds - A Supervised Learning Algorithm Based on Self-Organization. 1518-1530
• 
  Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan: Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. 1531-1548
• 
  Paolo Guarneri, Gianpiero Rocca, Massimiliano Gobbi: A Neural-Network-Based Model for the Dynamic Simulation of the Tire/Suspension System While Traversing Road Irregularities. 1549-1563
• 
  Sheng-Sung Yang, Sammy Siu, Chia-Lu Ho: Analysis of the Initial Values in Split-Complex Backpropagation Algorithm. 1564-1573
• 
  John Yannis Goulermas, Andrew H. Findlow, Christopher J. Nester, Panos Liatsis, Xiao-Jun Zeng, Laurence P. J. Kenney, Philip A. Tresadern, Sibylle B. Thies, David Howard: An Instance-Based Algorithm With Auxiliary Similarity Information for the Estimation of Gait Kinematics From Wearable Sensors. 1574-1582
• 
  Carlos Alzate, Johan A. K. Suykens: Kernel Component Analysis Using an Epsilon-Insensitive Robust Loss Function. 1583-1598
• 
  Shuzhi Sam Ge, Chenguang Yang, Tong Heng Lee: Adaptive Predictive Control Using Neural Network for a Class of Pure-Feedback Systems in Discrete Time. 1599-1614
• 
  Hua Deng, Han-Xiong Li, Yi-Hu Wu: Feedback-Linearization-Based Neural Adaptive Control for Unknown Nonaffine Nonlinear Discrete-Time Systems. 1615-1625
• 
  Phill Rowcliffe, Jianfeng Feng: Training Spiking Neuronal Networks With Applications in Engineering Tasks. 1626-1640
• 
  Keem Siah Yap, Chee Peng Lim, I. Z. Abidi: A Hybrid ART-GRNN Online Learning Neural Network With a varepsilon -Insensitive Loss Function. 1641-1646
• 
  Hanyong Shao: Delay-Dependent Stability for Recurrent Neural Networks With Time-Varying Delays. 1647-1651
• 
  Zhenzhen Liu, Itamar Elhanany: A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent. 1652-1658
• 
  Sheng Chen, Lajos Hanzo, Shuang Tan: Symmetric Complex-Valued RBF Receiver for Multiple-Antenna-Aided Wireless Systems. 1659-1665

Volume 19, Number 10, October 2008

• 
  M. P. Barbarosou, N. G. Maratos: A Nonfeasible Gradient Projection Recurrent Neural Network for Equality-Constrained Optimization Problems. 1665-1677
• 
  Heejin Lim, Yoonsuck Choe: Extrapolative Delay Compensation Through Facilitating Synapses and Its Relation to the Flash-Lag Effect. 1678-1688
• 
  Wei Zuo, Lilong Cai: Adaptive-Fourier-Neural-Network-Based Control for a Class of Uncertain Nonlinear Systems. 1689-1701
• 
  Naira Hovakimyan, E. Lavretsky, Chengyu Cao: Adaptive Dynamic Inversion via Time-Scale Separation. 1702-1711
• 
  Sung Jin Yoo, Jin Bae Park, Yoon Ho Choi: Adaptive Output Feedback Control of Flexible-Joint Robots Using Neural Networks: Dynamic Surface Design Approach. 1712-1726
• 
  Haibo He, Sheng Chen: IMORL: Incremental Multiple-Object Recognition and Localization. 1727-1738
• 
  Luca Geretti, Antonio Abramo: The Correspondence Between Deterministic and Stochastic Digital Neurons: Analysis and Methodology. 1739-1752
• 
  Gang Wang, Dit-Yan Yeung, Frederick H. Lochovsky: A New Solution Path Algorithm in Support Vector Regression. 1753-1767
• 
  Shuiwang Ji, Jieping Ye: Generalized Linear Discriminant Analysis: A Unified Framework and Efficient Model Selection. 1768-1782
• 
  Xun-Lin Zhu, Guang-Hong Yang: New Delay-Dependent Stability Results for Neural Networks With Time-Varying Delay. 1783-1791
• 
  Xun Liang, Rong-Chang Chen, Xinyu Guo: Pruning Support Vector Machines Without Altering Performances. 1792-1803
• 
  Giovanni Costantini, Renzo Perfetti, Massimiliano Todisco: Quasi-Lagrangian Neural Network for Convex Quadratic Optimization. 1804-1809
• 
  Tianping Chen, Wei Wu, Wenjuan Zhou: Global mu -Synchronization of Linearly Coupled Unbounded Time-Varying Delayed Neural Networks With Unbounded Delayed Coupling. 1809-1816
• 
  Enric Farguell, Ferran Mazzanti, Eduardo Gómez-Ramírez: Boltzmann Machines Reduction by High-Order Decimation. 1816-1821
• 
  Xianchao Xie, Shuicheng Yan, James T. Kwok, Thomas S. Huang: Matrix-Variate Factor Analysis and Its Applications. 1821-1826
• 
  Olvi L. Mangasarian, Edward W. Wild: Nonlinear Knowledge-Based Classification. 1826-1832
• 
  Hakan Cevikalp, Robi Polikar: Local Classifier Weighting by Quadratic Programming. 1832-1838
• 
  Francesco Gianfelici: Nonlinear Dynamic Modeling of Physiological Systems (Marmarellis, V.Z.; 2004) [Book review]. 1839-1840

Volume 19, Number 11, November 2008

• 
  Qing Song, Yi-Lei Wu, Yeng Chai Soh: Robust Adaptive Gradient-Descent Training Algorithm for Recurrent Neural Networks in Discrete Time Domain. 1841-1853
• 
  François Bertrand Akoa: Combining DC Algorithms (DCAs) and Decomposition Techniques for the Training of Nonpositive-Semidefinite Kernels. 1854-1872
• 
  Chenguang Yang, Shuzhi Sam Ge, Cheng Xiang, Tianyou Chai, Tong Heng Lee: Output Feedback NN Control for Two Classes of Discrete-Time Systems With Unknown Control Directions in a Unified Approach. 1873-1886
• 
  Rodrigo C. de Lamare, Raimundo Sampaio Neto: Space-Time Adaptive Decision Feedback Neural Receivers With Data Selection for High-Data-Rate Users in DS-CDMA Systems. 1887-1895
• 
  Adnan Khashman: A Modified Backpropagation Learning Algorithm With Added Emotional Coefficients. 1896-1909
• 
  J. Liang, Z. Wang, Y. Liu, X. Liu: Robust Synchronization of an Array of Coupled Stochastic Discrete-Time Delayed Neural Networks. 1910-1921
• 
  Davide Bacciu, Antonina Starita: Competitive Repetition Suppression (CoRe) Clustering: A Biologically Inspired Learning Model With Application to Robust Clustering. 1922-1941
• 
  Huaguang Zhang, Zhanshan Wang, Derong Liu: Robust Stability Analysis for Interval Cohen-Grossberg Neural Networks With Unknown Time-Varying Delays. 1942-1955
• 
  Jian-Hua Zhao, Philip L. H. Yu: Fast ML Estimation for the Mixture of Factor Analyzers via an ECM Algorithm. 1956-1961
• 
  Xia Hong, Sheng Chen, Chris J. Harris: A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound. 1961-1967
• 
  Bo Liu, Tianping Chen: Consensus in Networks of Multiagents With Cooperation and Competition Via Stochastically Switching Topologies. 1967-1973
• 
  Shih-Hau Fang, Tsung-Nan Lin: Indoor Location System Based on Discriminant-Adaptive Neural Network in IEEE 802.11 Environments. 1973-1978
• 
  Umut Ozertem, Ismail Uysal, Deniz Erdogmus: Continuously Differentiable Sample-Spacing Entropy Estimation. 1978-1984
• 
  Kai Labusch, Erhardt Barth, Thomas Martinetz: Simple Method for High-Performance Digit Recognition Based on Sparse Coding. 1985-1989
• 
  Cecilio Angulo: Learning Kernel Classifiers: Theory and Algorithms (Herbrich, R.; 2002) [Book reviews]. 1990
• 
  Francesco Gianfelici: Numerical Solutions of Stochastic Differential Equations (Kloeden, P.K. and Platen, E.; 2008) [Book reviews]. 1991

Volume 19, Number 12, December 2008

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  Ashok Patel, Bart Kosko: Stochastic Resonance in Continuous and Spiking Neuron Models With Levy Noise. 1993-2008
• 
  Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari, Shengli Xie, Cuntai Guan: Equivalence Probability and Sparsity of Two Sparse Solutions in Sparse Representation. 2009-2021
• 
  Xiaolin Hu, Jun Wang: An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its k-Winners-Take-All Application. 2022-2031
• 
  Jiann-Ming Wu: Multilayer Potts Perceptrons With Levenberg-Marquardt Learning. 2032-2043
• 
  Bo Liu, Zhifeng Hao, Eric C. C. Tsang: Nesting One-Against-One Algorithm Based on SVMs for Pattern Classification. 2044-2052
• 
  Cesare Alippi, Manuel Roveri: Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier. 2053-2064
• 
  Jianbo Liu, Dragan Djurdjanovic: Topology Preservation and Cooperative Learning in Identification of Multiple Model Systems. 2065-2072
• 
  Sarangapani Jagannathan, Pingan He: Neural-Network-Based State Feedback Control of a Nonlinear Discrete-Time System in Nonstrict Feedback Form. 2073-2087
• 
  Jian Yang, Chengjun Liu: Color Image Discriminant Models and Algorithms for Face Recognition. 2088-2098
• 
  De-Shuang Huang, Ji-Xiang Du: A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks. 2099-2115
• 
  Lei Wang, Kap Luk Chan, Ping Xue, Luping Zhou: A Kernel-Induced Space Selection Approach to Model Selection in KLDA. 2116-2131
• 
  Hong Pan, Liang-Zheng Xia: Efficient Object Recognition Using Boundary Representation and Wavelet Neural Network. 2132-2149
• 
  Andreas Brandstetter, Alessandro Artusi: Radial Basis Function Networks GPU-Based Implementation. 2150-2154
• 
  Wu-Hua Chen, Wei Xing Zheng: Improved Delay-Dependent Asymptotic Stability Criteria for Delayed Neural Networks. 2154-2161

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