IEEE Transactions on Neural Networks, Volume 18

Volume 18, Number 1, January 2007

• Yuh-Jye Lee, Su-Yun Huang:
  Reduced Support Vector Machines: A Statistical Theory. 1-13
  
• Orlando De Jesus, Martin T. Hagan:
  Backpropagation Algorithms for a Broad Class of Dynamic Networks. 14-27
  
• Xia Hong, Sheng Chen, Chris J. Harris:
  A Kernel-Based Two-Class Classifier for Imbalanced Data Sets. 28-41
  
• Abhijeet V. Nandedkar, Prabir K. Biswas:
  A Fuzzy Min-Max Neural Network Classifier With Compensatory Neuron Architecture. 42-54
  
• Zhi-Hong Mao, Steve G. Massaquoi:
  Dynamics of Winner-Take-All Competition in Recurrent Neural Networks With Lateral Inhibition. 55-69
  
• Andrzej W. Przybyszewski, Paul S. Linsay, Paolo Gaudiano, Christopher M. Wilson:
  Basic Difference Between Brain and Computer: Integration of Asynchronous Processes Implemented as Hardware Model of the Retina. 70-85
  
• Angelo Alessandri, Cristiano Cervellera, Marcello Sanguineti:
  Design of Asymptotic Estimators: An Approach Based on Neural Networks and Nonlinear Programming. 86-96
  
• Abd-Krim Seghouane, Shun-ichi Amari:
  The AIC Criterion and Symmetrizing the Kullback-Leibler Divergence. 97-106
  
• Randa Herzallah, David Lowe:
  Distribution Modeling of Nonlinear Inverse Controllers Under a Bayesian Framework. 107-114
  
• Jian-Xin Xu, Ying Tan:
  Nonlinear Adaptive Wavelet Control Using Constructive Wavelet Networks. 115-127
  
• K. E. Graves, R. Nagarajah:
  Uncertainty Estimation Using Fuzzy Measures for Multiclass Classification. 128-140
  
• Dit-Yan Yeung, Hong Chang:
  A Kernel Approach for Semisupervised Metric Learning. 141-149
  
• Jianming Lu, Xue Yuan, Takashi Yahagi:
  A Method of Face Recognition Based on Fuzzy c-Means Clustering and Associated Sub-NNs. 150-160
  
• Stefano Ferrari, Giancarlo Ferrigno, Vincenzo Piuri, N. Alberto Borghese:
  Reducing and Filtering Point Clouds With Enhanced Vector Quantization. 161-177
  
• Yi-Hung Liu, Yen-Ting Chen:
  Face Recognition Using Total Margin-Based Adaptive Fuzzy Support Vector Machines. 178-192
  
• Ramazan Gencay, Rajna Gibson:
  Model Risk for European-Style Stock Index Options. 193-202
  
• Puneet Singla, Kamesh Subbarao, John L. Junkins:
  Direction-Dependent Learning Approach for Radial Basis Function Networks. 203-222
  
• Tom Auld, Andrew W. Moore, Stephen F. Gull:
  Bayesian Neural Networks for Internet Traffic Classification. 223-239
  
• Antony W. Savich, Medhat Moussa, Shawki Areibi:
  The Impact of Arithmetic Representation on Implementing MLP-BP on FPGAs: A Study. 240-252
  
• R. Jacob Vogelstein, Udayan Mallik, Joshua T. Vogelstein, Gert Cauwenberghs:
  Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses. 253-265
  
• Koldo Basterretxea, José Manuel Tarela, Inés del Campo, Guillermo Bosque:
  An Experimental Study on Nonlinear Function Computation for Neural/Fuzzy Hardware Design. 266-283
  
• Ki Young Lee, Dae-Won Kim, Kwang Hyung Lee, Doheon Lee:
  Density-Induced Support Vector Data Description. 284-289
  
• Yiu-ming Cheung, Lap-Tak Law:
  Rival-Model Penalized Self-Organizing Map. 289-295
  
• Yiguang Liu, Zhisheng You, Liping Cao:
  On the Almost Periodic Solution of Cellular Neural Networks With Distributed Delays. 295-300
  
• Olvi L. Mangasarian, Edward W. Wild:
  Nonlinear Knowledge in Kernel Approximation. 300-306
  
• Stephen A. Billings, Hua-Liang Wei:
  Sparse Model Identification Using a Forward Orthogonal Regression Algorithm Aided by Mutual Information. 306-310
  
• Yong He, Guo-Ping Liu, David Rees:
  New Delay-Dependent Stability Criteria for Neural Networks With Time-Varying Delay. 310-314
  

Volume 18, Number 2, March 2007

• Victor Boyarshinov, Malik Magdon-Ismail:
  Efficient Optimal Linear Boosting of a Pair of Classifiers. 317-328
  
• Son Lam Phung, Abdesselam Bouzerdoum:
  A Pyramidal Neural Network For Visual Pattern Recognition. 329-343
  
• Janusz A. Starzyk, Haibo He:
  Anticipation-Based Temporal Sequences Learning in Hierarchical Structure. 344-358
  
• Zhiwei Shi, Min Han:
  Support Vector Echo-State Machine for Chaotic Time-Series Prediction. 359-372
  
• Aydogan Savran:
  Multifeedback-Layer Neural Network. 373-384
  
• Sitao Wu, Tommy W. S. Chow:
  Self-Organizing and Self-Evolving Neurons: A New Neural Network for Optimization. 385-396
  
• Juyang Weng, Wey-Shiuan Hwang:
  Incremental Hierarchical Discriminant Regression. 397-415
  
• Jinde Cao, Min Xiao:
  Stability and Hopf Bifurcation in a Simplified BAM Neural Network With Two Time Delays. 416-430
  
• Kian Hong Quah, Chai Quek:
  MCES: A Novel Monte Carlo Evaluative Selection Approach for Objective Feature Selections. 431-448
  
• Guido Herrmann, Matthew C. Turner, Ian Postlethwaite:
  Performance-Oriented Antiwindup for a Class of Linear Control Systems With Augmented Neural Network Controller. 449-465
  
• Zeng-Guang Hou, Madan M. Gupta, Peter N. Nikiforuk, Min Tan, Long Cheng:
  A Recurrent Neural Network for Hierarchical Control of Interconnected Dynamic Systems. 466-481
  
• Nakwan Kim, A. J. Calise:
  Several Extensions in Methods for Adaptive Output Feedback Control. 482-494
  
• Changchun Hua, Xinping Guan, Peng Shi:
  Robust Output Feedback Tracking Control for Time-Delay Nonlinear Systems Using Neural Network. 495-505
  
• Marios Kyperountas, Anastasios Tefas, Ioannis Pitas:
  Weighted Piecewise LDA for Solving the Small Sample Size Problem in Face Verification. 506-519
  
• Christoph Rasche:
  Neuromorphic Excitable Maps for Visual Processing. 520-529
  
• Keun Chang Kwak, Witold Pedrycz:
  Face Recognition Using an Enhanced Independent Component Analysis Approach. 530-541
  
• Rami Rom, Jacob Erel, Michael Glikson, Randy A. Lieberman, Kobi Rosenblum, Ofer Binah, Ran Ginosar, David L. Hayes:
  Adaptive Cardiac Resynchronization Therapy Device Based on Spiking Neurons Architecture and Reinforcement Learning Scheme. 542-550
  
• Philipp Häfliger:
  Adaptive WTA With an Analog VLSI Neuromorphic Learning Chip. 551-572
  
• Xiaolong Ma, Konstantin Likharev:
  Global Reinforcement Learning in Neural Networks. 573-577
  
• Daewon Lee, Jaewook Lee:
  Equilibrium-Based Support Vector Machine for Semisupervised Classification. 578-583
  
• E. A. de Oliveira:
  The Rosenblatt Bayesian Algorithm Learning in a Nonstationary Environment. 584-588
  
• Rashad Sharaf, Aboelmagd Noureldin:
  Sensor Integration for Satellite-Based Vehicular Navigation Using Neural Networks. 589-594
  
• Ying Song, Zengqiang Chen, Zhuzhi Yuan:
  New Chaotic PSO-Based Neural Network Predictive Control for Nonlinear Process. 595-601
  
• Srimanta Pal, Sabyasachi Hattacharya:
  Neurocomputing Model for Computation of an Approximate Convex Hull of a Set of Points and Spheres. 600-605
  
• Anthony Kuh, Philippe De Wilde:
  Comments on "Pruning Error Minimization in Least Squares Support Vector Machines". 606-609
  
• Nicol N. Schraudolph:
  Correction to "Gradient-Based Manipulation of Nonparametric Entropy Estimates" [Jul 04 828-837]. 609
  
• Francesco Camastra:
  Image Processing: Principles and Applications [book review]. 610
  
• Danil V. Prokhorov:
  Intelligent Control Systems Using Computational Intelligence [book review]. 611-612
  

Volume 18, Number 3, May 2007

• Cong Wang, David J. Hill:
  Deterministic Learning and Rapid Dynamical Pattern Recognition. 617-630
  
• T. Hanselmann, L. Noakes, A. Zaknich:
  Continuous-Time Adaptive Critics. 631-647
  
• Stephen B. Furber, G. Brown, Joy Bose, J. Mike Cumpstey, P. Marshall, Jonathan L. Shapiro:
  Sparse Distributed Memory Using Rank-Order Neural Codes. 648-659
  
• K. Patan:
  Stability Analysis and the Stabilization of a Class of Discrete-Time Dynamic Neural Networks. 660-673
  
• Xindi Cai, Danil V. Prokhorov, Donald C. Wunsch II:
  Training Winner-Take-All Simultaneous Recurrent Neural Networks. 674-684
  
• Licheng Jiao, Liefeng Bo, Ling Wang:
  Fast Sparse Approximation for Least Squares Support Vector Machine. 685-697
  
• Alexander A. Frolov, Dusan Húsek, Igor P. Muraviev, Pavel Yu. Polyakov:
  Boolean Factor Analysis by Attractor Neural Network. 698-707
  
• Chih-Min Lin, Li-Yang Chen, Chiu-Hsiung Chen:
  RCMAC Hybrid Control for MIMO Uncertain Nonlinear Systems Using Sliding-Mode Technology. 708-720
  
• Hong-Sen Yan, Duo Xu:
  An Approach to Estimating Product Design Time Based on Fuzzy nu-Support Vector Machine. 721-731
  
• Tetsuya Hoya, Yoshikazu Washizawa:
  Simultaneous Pattern Classification and Multidomain Association Using Self-Structuring Kernel Memory Networks. 732-744
  
• Constantinos Constantinopoulos, Aristidis Likas:
  Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting. 745-755
  
• Xiaoyan Mu, Paul Watta, Mohamad H. Hassoun:
  A Weighted Voting Model of Associative Memory. 756-777
  
• James T. Kwok, Ivor Wai-Hung Tsang, Jacek M. Zurada:
  A Class of Single-Class Minimax Probability Machines for Novelty Detection. 778-785
  
• Erzsébet Merényi, Abha Jain, Thomas Villmann:
  Explicit Magnification Control of Self-Organizing Maps for "Forbidden" Data. 786-797
  
• Aristeidis Diplaros, Nikos A. Vlassis, Theo Gevers:
  A Spatially Constrained Generative Model and an EM Algorithm for Image Segmentation. 798-808
  
• Frédéric Vrins, John Aldo Lee, Michel Verleysen:
  A Minimum-Range Approach to Blind Extraction of Bounded Sources. 809-822
  
• Bor-Shyh Lin, Fok-Ching Chong, Feipei Lai:
  Higher-Order-Statistics-Based Radial Basis Function Networks for Signal Enhancement. 823-832
  
• Chia-Feng Juang, Chyi-Tian Chiou, Chun-Lung Lai:
  Hierarchical Singleton-Type Recurrent Neural Fuzzy Networks for Noisy Speech Recognition. 833-843
  
• Emad A. El-Sebakhy, Ali S. Hadi, Kanaan A. Faisal:
  Iterative Least Squares Functional Networks Classifier. 844-850
  
• Yung-Keun Kwon, Byung Ro Moon:
  A Hybrid Neurogenetic Approach for Stock Forecasting. 851-864
  
• Juan Ignacio Mulero Martínez:
  An Improved Dynamic Neurocontroller Based on Christoffel Symbols. 865-879
  
• S. Himavathi, D. Anitha, A. Muthuramalingam:
  Feedforward Neural Network Implementation in FPGA Using Layer Multiplexing for Effective Resource Utilization. 880-888
  
• Russell W. Duren, Robert J. Marks II, Paul D. Reynolds, Matthew L. Trumbo:
  Real-Time Neural Network Inversion on the SRC-6e Reconfigurable Computer. 889-901
  
• Evaldo Araújo de Oliveira, Roberto Castro Alamino:
  Performance of the Bayesian Online Algorithm for the Perceptron. 902-905
  
• Chong Wang:
  Variational Bayesian Approach to Canonical Correlation Analysis. 905-910
  
• Jiancheng Lv, Zhang Yi, Kok Kiong Tan:
  Determination of the Number of Principal Directions in a Biologically Plausible PCA Model. 910-916
  
• Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
  A Convex Approach to Validation-Based Learning of the Regularization Constant. 917-920
  
• Yue Fu, Tianyou Chai:
  Neural-Network-Based Nonlinear Adaptive Dynamical Decoupling Control. 921-925
  
• Eyal Kolman, Michael Margaliot:
  Knowledge Extraction From Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition Problem. 925-931
  
• Dalong Li, Russell M. Mersereau, Steven J. Simske:
  Blind Image Deconvolution Through Support Vector Regression. 931-935
  
• Gavin C. Cawley:
  An Empirical Evaluation of the Fuzzy Kernel Perceptron. 935-937
  
• Ivan Jordanov, Antoniya Georgieva:
  Neural Network Learning With Global Heuristic Search. 937-942
  
• Peter Williams, Sheng Li, Jianfeng Feng, Si Wu:
  A Geometrical Method to Improve Performance of the Support Vector Machine. 942-947
  
• H. Zhang, Z. Wang:
  Global Asymptotic Stability of Delayed Cellular Neural Networks. 947-950
  
• Amir F. Atiya, Sung Goo Yoo, Kil To Chong, Hyongsuk Kim:
  Packet Loss Rate Prediction Using the Sparse Basis Prediction Model. 950-954
  
• Christian Mayr, Arne Heittmann, René Schüffny:
  Gabor-Like Image Filtering Using a Neural Microcircuit. 955-959
  
• Enrique Romero, Daniel Toppo:
  Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer Weights. 959-963
  

Volume 18, Number 4, July 2007

• Frank L. Lewis, Jie Huang, Thomas Parisini, Danil V. Prokhorov, Donald C. Wunsch II:
  Guest Editorial Special Issue on Neural Networks for Feedback Control Systems. 969-972
  
• Xin Xu, Dewen Hu, Xicheng Lu:
  Kernel-Based Least Squares Policy Iteration for Reinforcement Learning. 973-992
  
• Charles W. Anderson, Peter Michael Young, Michael R. Buehner, James N. Knight, K. A. Bush, Douglas C. Hittle:
  Robust Reinforcement Learning Control Using Integral Quadratic Constraints for Recurrent Neural Networks. 993-1002
  
• Danil V. Prokhorov:
  Training Recurrent Neurocontrollers for Real-Time Applications. 1003-1015
  
• Alok Kanti Deb, Jayadeva, Madan Gopal, Suresh Chandra:
  SVM-Based Tree-Type Neural Networks as a Critic in Adaptive Critic Designs for Control. 1016-1030
  
• Yuval Tassa, Tom Erez:
  Least Squares Solutions of the HJB Equation With Neural Network Value-Function Approximators. 1031-1041
  
• Seul Jung, Hyun Taek Cho, Tien C. Hsia:
  Neural Network Control for Position Tracking of a Two-Axis Inverted Pendulum System: Experimental Studies. 1042-1048
  
• Wassim M. Haddad, James M. Bailey, Tomohisa Hayakawa, Naira Hovakimyan:
  Neural Network Adaptive Output Feedback Control for Intensive Care Unit Sedation and Intraoperative Anesthesia. 1049-1066
  
• Adam Papadimitropoulos, George A. Rovithakis, Thomas Parisini:
  Fault Detection in Mechanical Systems With Friction Phenomena: An Online Neural Approximation Approach. 1067-1082
  
• Jonathan Blake Vance, Atmika Singh, Brian C. Kaul, Sarangapani Jagannathan, James A. Drallmeier:
  Neural Network Controller Development and Implementation for Spark Ignition Engines With High EGR Levels. 1083-1100
  
• Guillaume Colin, Yann Chamaillard, Gérard Bloch, Gilles Corde:
  Neural Control of Fast Nonlinear Systems- Application to a Turbocharged SI Engine With VCT. 1101-1114
  
• Vivek Yadav, Radhakant Padhi, S. N. Balakrishnan:
  Robust/Optimal Temperature Profile Control of a High-Speed Aerospace Vehicle Using Neural Networks. 1115-1128
  
• Shuzhi Sam Ge, Thanh-Trung Han:
  Semiglobal ISpS Disturbance Attenuation With Output Tracking via Direct Adaptive Design. 1129-1148
  
• Bong-Jun Yang, Anthony J. Calise:
  Adaptive Control of a Class of Nonaffine Systems Using Neural Networks. 1149-1159
  
• Chengyu Cao, Naira Hovakimyan:
  Novel L₁ Neural Network Adaptive Control Architecture With Guaranteed Transient Performance. 1160-1171
  
• Luca Scardovi, Marco Baglietto, Thomas Parisini:
  Active State Estimation for Nonlinear Systems: A Neural Approximation Approach. 1172-1184
  
• Alma Y. Alanis, Edgar N. Sanchez, Alexander G. Loukianov:
  Discrete-Time Adaptive Backstepping Nonlinear Control via High-Order Neural Networks. 1185-1195
  
• Weiyao Lan, Jie Huang:
  Neural-Network-Based Approximate Output Regulation of Discrete-Time Nonlinear Systems. 1196-1208
  
• G. L. Wang, Y. F. Li, D. X. Bi:
  Support Vector Networks in Adaptive Friction Compensation. 1209-1219
  
• Yuanyuan Zhao, Jay A. Farrell:
  Self-Organizing Approximation-Based Control for Higher Order Systems. 1220-1231
  
• Chun-Fei Hsu:
  Self-Organizing Adaptive Fuzzy Neural Control for a Class of Nonlinear Systems. 1232-1241
  
• Joaquin Sitte, Liang Zhang, Ulrich Rückert:
  Characterization of Analog Local Cluster Neural Network Hardware for Control. 1242-1253
  
• William Holderbaum:
  Application of Neural Network to Hybrid Systems With Binary Inputs. 1254-1261
  

Volume 18, Number 5, September 2007

• Sylvain Lespinats, Michel Verleysen, Alain Giron, Bernard Fertil:
  DD-HDS: A Method for Visualization and Exploration of High-Dimensional Data. 1265-1279
  
• Sheng-Sung Yang, Chia-Lu Ho, Sammy Siu:
  Sensitivity Analysis of the Split-Complex Valued Multilayer Perceptron Due to the Errors of the i.i.d. Inputs and Weights. 1280-1293
  
• Daniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang:
  Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network. 1294-1305
  
• Dinani Gomes Amorim, Manuel Fernández Delgado, Senén Barro Ameneiro:
  Polytope ARTMAP: Pattern Classification Without Vigilance Based on General Geometry Categories. 1306-1325
  
• Junichiro Hirayama, Shin-ichi Maeda, Shin Ishii:
  Markov and Semi-Markov Switching of Source Appearances for Nonstationary Independent Component Analysis. 1326-1342
  
• Pingzhou Liu, Qing-Long Han:
  Discrete-Time Analogs for a Class of Continuous-Time Recurrent Neural Networks. 1343-1355
  
• Silvia Ghilezan, Jovanka Pantovic, Jovisa D. Zunic:
  Separating Points by Parallel Hyperplanes - Characterization Problem. 1356-1363
  
• Zhidong Deng, Yi Zhang:
  Collective Behavior of a Small-World Recurrent Neural System With Scale-Free Distribution. 1364-1375
  
• Meiqin Liu:
  Delayed Standard Neural Network Models for Control Systems. 1376-1391
  
• Vahram Stepanyan, Naira Hovakimyan:
  Robust Adaptive Observer Design for Uncertain Systems With Bounded Disturbances. 1392-1403
  
• Gregor Gregorcic, Gordon Lightbody:
  Local Model Network Identification With Gaussian Processes. 1404-1423
  
• Tao Song, Mo M. Jamshidi, Roland R. Lee, Mingxiong Huang:
  A Modified Probabilistic Neural Network for Partial Volume Segmentation in Brain MR Image. 1424-1432
  
• José M. Leiva-Murillo, Antonio Artés-Rodríguez:
  Maximization of Mutual Information for Supervised Linear Feature Extraction. 1433-1441
  
• Shu Yang, Shuicheng Yan, Chao Zhang, Xiaoou Tang:
  Bilinear Analysis for Kernel Selection and Nonlinear Feature Extraction. 1442-1452
  
• Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang:
  Weighted Mahalanobis Distance Kernels for Support Vector Machines. 1453-1462
  
• Bratati Banerjee:
  String Tightening as a Self-Organizing Phenomenon. 1463-1471
  
• Martin J. Pearson, Anthony G. Pipe, Benjamin Mitchinson, Kevin N. Gurney, Chris Melhuish, Ian Gilhespy, Mokhtar Nibouche:
  Implementing Spiking Neural Networks for Real-Time Signal-Processing and Control Applications: A Model-Validated FPGA Approach. 1472-1487
  
• Nitish D. Patel, Sing Kiong Nguang, George G. Coghill:
  Neural Network Implementation Using Bit Streams. 1488-1504
  
• Wei Liu, Danilo P. Mandic, Andrzej Cichocki:
  Analysis and Online Realization of the CCA Approach for Blind Source Separation. 1505-1510
  
• Su Lee Goh, Danilo P. Mandic:
  Stochastic Gradient-Adaptive Complex-Valued Nonlinear Neural Adaptive Filters With a Gradient-Adaptive Step Size. 1511-1516
  
• Zhenwei Shi, Changshui Zhang:
  Blind Source Extraction Using Generalized Autocorrelations. 1516-1524
  
• D. Vidaurre, Jorge Muruzábal:
  A Quick Assessment of Topology Preservation for SOM Structures. 1524-1528
  
• Aapo Hyvärinen:
  Connections Between Score Matching, Contrastive Divergence, and Pseudolikelihood for Continuous-Valued Variables. 1529-1531
  
• De-Shuang Huang, Jian-Xun Mi:
  A New Constrained Independent Component Analysis Method. 1532-1535
  
• Xuemei Ren, Ahmad B. Rad:
  Identification of Nonlinear Systems With Unknown Time Delay Based on Time-Delay Neural Networks. 1536-1541
  
• Liefeng Bo, Licheng Jiao, Ling Wang:
  Working Set Selection Using Functional Gain for LS-SVM. 1541-1544
  
• Michael E. Mavroforakis, Margaritis Sdralis, Sergios Theodoridis:
  A Geometric Nearest Point Algorithm for the Efficient Solution of the SVM Classification Task. 1545-1549
  
• Christof Teuscher:
  FPGA Implementations of Neural Networks (Ormondi. A.R. and Rajapakse, J.C., Eds.; 2006). 1550
  
• Eulalia Szmidt:
  Uncertainty and Information: Foundations of Generalized Information Theory (Klir, G.J.; 2006). 1551
  

Volume 18, Number 6, November 2007

• Jiancheng Lv, Zhang Yi, Kok Kiong Tan:
  Global Convergence of GHA Learning Algorithm With Nonzero-Approaching Adaptive Learning Rates. 1557-1571
  
• Zhihua Zhang, Gang Wu, Edward Y. Chang:
  Semiparametric Regression Using Student t Processes. 1572-1588
  
• Chih-Jen Lin:
  On the Convergence of Multiplicative Update Algorithms for Nonnegative Matrix Factorization. 1589-1596
  
• Mahmood R. Azimi-Sadjadi, Jaime Salazar, Saravana Srinivasan, Sassan Sheedvash:
  An Adaptable Connectionist Text-Retrieval System With Relevance Feedback. 1597-1613
  
• Dubravko Culibrk, Oge Marques, Daniel Socek, Hari Kalva, Borko Furht:
  Neural Network Approach to Background Modeling for Video Object Segmentation. 1614-1627
  
• Boaz Vigdor, Boaz Lerner:
  The Bayesian ARTMAP. 1628-1644
  
• Alex Leng Phuan Tay, Jacek M. Zurada, Lai-Ping Wong, Jian Xu:
  The Hierarchical Fast Learning Artificial Neural Network (HieFLANN) - An Autonomous Platform for Hierarchical Neural Network Construction. 1645-1657
  
• Sintiani Dewi Teddy, Edmund Ming-Kit Lai, Chai Quek:
  Hierarchically Clustered Adaptive Quantization CMAC and Its Learning Convergence. 1658-1682
  
• John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng, Phil Cook:
  Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation. 1683-1696
  
• Xiaolin Hu, Jun Wang:
  Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks. 1697-1708
  
• Yuanyuan Zhao, Jay A. Farrell:
  Locally Weighted Online Approximation-Based Control for Nonaffine Systems. 1709-1724
  
• Tao Cheng, Frank L. Lewis, Murad Abu-Khalaf:
  Fixed-Final-Time-Constrained Optimal Control of Nonlinear Systems Using Neural Network HJB Approach. 1725-1737
  
• Sheng Uei Guan, Chunyu Bao, TseNgee Neo:
  Reduced Pattern Training Based on Task Decomposition Using Pattern Distributor. 1738-1749
  
• Wei Jiang, G. Seong Kong:
  Block-Based Neural Networks for Personalized ECG Signal Classification. 1750-1761
  
• Esa Alhoniemi, Antti Honkela, Krista Lagus, Santeri Jeremias Seppä, Paul Wagner, Harri Valpola:
  Compact Modeling of Data Using Independent Variable Group Analysis. 1762-1776
  
• Dezhong Peng, Zhang Yi:
  Dynamics of Generalized PCA and MCA Learning Algorithms. 1777-1784
  
• Kyriakos Voutsas, Jürgen Adamy:
  A Biologically Inspired Spiking Neural Network for Sound Source Lateralization. 1785-1799
  
• G. Peter Zhang, Douglas M. Kline:
  Quarterly Time-Series Forecasting With Neural Networks. 1800-1814
  
• John V. Arthur, Kwabena Boahen:
  Synchrony in Silicon: The Gamma Rhythm. 1815-1825
  
• S. Sathiya Keerthi, Shirish Krishnaj Shevade:
  A Fast Tracking Algorithm for Generalized LARS/LASSO. 1826-1830
  
• Haris E. Psillakis, Antonio T. Alexandridis:
  NN-Based Adaptive Tracking Control of Uncertain Nonlinear Systems Disturbed by Unknown Covariance Noise. 1830-1835
  
• Tianping Chen, Lili Wang:
  Global µ-Stability of Delayed Neural Networks With Unbounded Time-Varying Delays. 1836-1840
  
• Huaguang Zhang, Yinghui Xie, Zhiliang Wang, Chengde Zheng:
  Adaptive Synchronization Between Two Different Chaotic Neural Networks With Time Delay. 1841-1845
  
• Merih Yildiz, Shahram Minaei, Izzet Cem Göknar:
  A CMOS Classifier Circuit Using Neural Networks With Novel Architecture. 1845-1849
  
• Yong He, Guo-Ping Liu, David Rees, Min Wu:
  Stability Analysis for Neural Networks With Time-Varying Interval Delay. 1850-1854
  
• Leonid I. Perlovsky, Ross W. Deming:
  Neural Networks for Improved Tracking. 1854-1857
  
• Yi Shen, Jun Wang:
  Noise-Induced Stabilization of the Recurrent Neural Networks With Mixed Time-Varying Delays and Markovian-Switching Parameters. 1857-1862
  
• Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang:
  Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion". 1862-1864
  

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