IEEE Transactions on Neural Networks, Volume 21

Volume 21, Number 1, January 2010

• Derong Liu:
  Editorial: the IEEE transactions on neural networks 2010 and beyond. 1-2
  
• Zidong Wang, Yao Wang, Yurong Liu:
  Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays. 11-25
  
• Xun Liang:
  An effective method of pruning support vector machine classifiers. 26-38
  
• Zhanshan Wang, Huaguang Zhang:
  Global asymptotic stability of reaction-diffusion Cohen-Grossberg neural networks with continuously distributed delays. 39-49
  
• Travis Dierks, Sarangapani Jagannathan:
  Output feedback control of a quadrotor UAV using neural networks. 50-66
  
• Cheng Hu, Haijun Jiang, Zhidong Teng:
  Impulsive control and synchronization for delayed neural networks with reaction-diffusion terms. 67-81
  
• Yong Xiang, Sze Kui Ng, Van Khanh Nguyen:
  Blind separation of mutually correlated sources using precoders. 82-90
  
• Huaguang Zhang, Zhenwei Liu, Guang-Bin Huang, Zhanshan Wang:
  Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay. 91-106
  
• Nizar Bouguila, Djemel Ziou:
  A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling. 107-122
  
• Junbin Gao, Jun Zhang, David Tien:
  Relevance units latent variable model and nonlinear dimensionality reduction. 123-135
  
• Whye Loon Tung, Chai Quek:
  eFSM: a novel online neural-fuzzy semantic memory model. 136-157
  
• Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse:
  OP-ELM: optimally pruned extreme learning machine. 158-162
  
• Bing-Yu Sun, Xiaoming Zhang, Jiuyong Li, Xue-Min Mao:
  Feature fusion using locally linear embedding for classification. 163-168
  
• Rongni Yang, Zexu Zhang, Peng Shi:
  Exponential stability on stochastic neural networks with discrete interval and distributed delays. 169-175
  
• Xiangyu Kong, Changhua Hu, Chongzhao Han:
  On the discrete-time dynamics of a class of self-stabilizing MCA extraction algorithms. 175-181
  

Volume 21, Number 2, February 2010

• Weiling Cai, Songcan Chen, Daoqiang Zhang:
  A multiobjective simultaneous learning framework for clustering and classification. 185-200
  
• Yoshikazu Washizawa:
  Feature extraction using constrained approximation and suppression. 201-210
  
• Renata Lúcia Mendonça Ernesto do Rêgo, Aluizio Fausto Ribeiro Araújo, Fernando Buarque de Lima Neto:
  Growing self-reconstruction maps. 211-223
  
• Yoshihiro Hayakawa, Koji Nakajima:
  Design of the inverse function delayed neural network for solving combinatorial optimization problems. 224-237
  
• Zhe Sun, Zengke Zhang, Huangang Wang, Min Jiang:
  Cutting plane method for continuously constrained kernel-based regression. 238-247
  
• Vicente Zarzoso, Pierre Comon:
  Robust independent component analysis by iterative maximization of the kurtosis contrast with algebraic optimal step size. 248-261
  
• Derrick Takeshi Mirikitani, Nikolay I. Nikolaev:
  Recursive Bayesian recurrent neural networks for time-series modeling. 262-274
  
• Stefano Ferrari, Francesco Bellocchio, Vincenzo Piuri, N. Alberto Borghese:
  A hierarchical RBF online learning algorithm for real-time 3-D scanner. 275-285
  
• Simeon A. Bamford, Alan F. Murray, David J. Willshaw:
  Large developing receptive fields using a distributed and locally reprogrammable address-event receiver. 286-304
  
• Jiancheng Sun, Chongxun Zheng, Xiaohe Li, Yatong Zhou:
  Analysis of the distance between two classes for tuning SVM hyperparameters. 305-318
  
• Fei Wang, Bin Zhao, Changshui Zhang:
  Linear time maximum margin clustering. 319-332
  
• Sang Wan Lee, Zeungnam Bien:
  Representation of a fisher criterion function in a kernel feature space. 333-339
  
• Zhiqiang Zuo, Cuili Yang, Yijing Wang:
  A new method for stability analysis of recurrent neural networks with interval time-varying delay. 339-344
  
• Weisheng Chen, Licheng Jiao:
  Adaptive tracking for periodically time-varying and nonlinearly parameterized systems using multilayer neural networks. 345-351
  
• Fabrizio Angiulli, Annabella Astorino:
  Scaling up support vector machines using nearest neighbor condensation. 351-357
  

Volume 21, Number 3, March 2010

• Sintiani Dewi Teddy, Chai Quek, Edmund Ming-Kit Lai, A. Cinar:
  PSECMAC intelligent insulin schedule for diabetic blood glucose management under nonmeal announcement. 361-380
  
• Saichon Jaiyen, Chidchanok Lursinsap, Suphakant Phimoltares:
  A very fast neural learning for classification using only new incoming datum. 381-392
  
• Wenming Zheng, Zhouchen Lin, Xiaoou Tang:
  A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors. 393-403
  
• Balaje T. Thumati, Sarangapani Jagannathan:
  A model-based fault-detection and prediction scheme for nonlinear multivariable discrete-time systems with asymptotic stability guarantees. 404-423
  
• Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, Paolo Gastaldo, Davide Anguita:
  Using unsupervised analysis to constrain generalization bounds for support vector classifiers. 424-438
  
• Ju Hong Ge, Jian Xu:
  Computation of synchronized periodic solution in a BAM network with two delays. 439-450
  
• Chong Jin Ong, Shiyun Shao, Jianbo Yang:
  An improved algorithm for the solution of the regularization path of support vector machine. 451-462
  
• Qing Song:
  On the weight convergence of Elman networks. 463-480
  
• Delu Zeng, Zhiheng Zhou, Shengli Xie:
  Coarse-to-fine boundary location with a SOM-like method. 481-493
  
• Zhang Yi:
  Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks. 494-507
  
• Wu-Hua Chen, Wei Xing Zheng:
  Robust stability analysis for stochastic neural networks with time-varying delay. 508-514
  
• Manish Narwaria, Weisi Lin:
  Objective image quality assessment based on support vector regression. 515-519
  
• Kadim Tasdemir:
  Graph based representations of density distribution and distances for self-organizing maps. 520-526
  

Volume 21, Number 4, April 2010

• Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Christopher Sentelle, Mingyu Zhong:
  An adaptive multiobjective approach to evolving ART architectures. 529-550
  
• Wei-Shi Zheng, Jian-Huang Lai, Pong Chi Yuen:
  Penalized preimage learning in kernel principal component analysis. 551-570
  
• Wangli He, Jinde Cao:
  Exponential synchronization of hybrid coupled networks with delayed coupling. 571-583
  
• Daizhan Cheng, Hongsheng Qi:
  State-space analysis of Boolean networks. 584-594
  
• Djamel Bouchaffra:
  Conformation-based hidden Markov models: application to human face identification. 595-608
  
• José Antonio Pérez-Carrasco, Begoña Acha, Carmen Serrano, Luis A. Camuñas-Mesa, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
  Fast vision through frameless event-based sensing and convolutional processing: application to texture recognition. 609-620
  
• Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan:
  Generalized low-rank approximations of matrices revisited. 621-632
  
• Cheolhwan Oh, Stanislaw H. Zak:
  Large-scale pattern storage and retrieval using generalized brain-state-in-a-box neural networks. 633-643
  
• Kai Zhang, James T. Kwok:
  Simplifying mixture models through function approximation. 644-658
  
• Chunhua Shen, Hanxi Li:
  Boosting through optimization of margin distributions. 659-666
  
• Burcu Erkmen, Nihan Kahraman, Revna Acar Vural, Tülay Yildirim:
  Conic section function neural network circuitry for offline signature recognition. 667-672
  
• Marcos Angel Gonzalez-Olvera, Yu Tang:
  Black-box identification of a class of nonlinear systems by a recurrent neurofuzzy network. 672-679
  
• Hamse Y. Mussa, Robert C. Glen:
  Memory-efficient fully coupled filtering approach for observational model building. 680-686
  
• Cristiano Cervellera:
  Lattice point sets for deterministic learning and approximate optimization problems. 687-692
  
• Zhengguang Wu, Hongye Su, Jian Chu, Wuneng Zhou:
  Improved delay-dependent stability condition of discrete recurrent neural networks with time-varying delays. 692-697
  

Volume 21, Number 5, May 2010

• Yaman Aksu, David J. Miller, George Kesidis, Qing X. Yang:
  Margin-maximizing feature elimination methods for linear and nonlinear kernel-based discriminant functions. 701-717
  
• Leonid I. Perlovsky:
  Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI. 718-733
  
• Zhirong Yang, Erkki Oja:
  Linear and nonlinear projective nonnegative matrix factorization. 734-749
  
• Juan Carlos Fernández Caballero, Francisco José Martínez, César Hervás, Pedro Antonio Gutiérrez:
  Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks. 750-770
  
• Yuguang Fang, Michael A. Cohen, Thomas G. Kincaid:
  Dynamic analysis of a general class of winner-take-all competitive neural networks. 771-783
  
• Sarunas Raudys, Rimantas Kybartas, Edmundas Kazimieras Zavadskas:
  Multicategory nets of single-layer perceptrons: complexity and sample-size issues. 784-795
  
• Mou Chen, Shuzhi Sam Ge, Bernard Voon Ee How:
  Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities. 796-812
  
• Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano:
  Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors. 813-830
  
• Petra Schneider, Kerstin Bunte, Han Stiekema, Barbara Hammer, Thomas Villmann, Michael Biehl:
  Regularization in matrix relevance learning. 831-840
  
• Simone Fiori:
  Learning by natural gradient on noncompact matrix-type pseudo-Riemannian manifolds. 841-852
  
• Luping Zhou, Lei Wang, Chunhua Shen:
  Feature selection with redundancy-constrained class separability. 853-858
  
• Danil V. Prokhorov:
  A convolutional learning system for object classification in 3-D lidar data. 858-863
  
• Vicente Zarzoso, Pierre Comon, Ronald Phlypo:
  A contrast function for independent component analysis without permutation ambiguity. 863-868
  

Volume 21, Number 6, June 2010

• Prashanta Kumar Patra, Muktikanta Sahu, Subasish Mohapatra, Ronak Kumar Samantray:
  File access prediction using neural networks. 869-882
  
• Ping Sun, Xin Yao:
  Sparse approximation through boosting for learning large scale kernel machines. 883-894
  
• Daqing Guo, Chunguang Li:
  Self-sustained irregular activity in 2-D small-world networks of excitatory and inhibitory neurons. 895-905
  
• Hennie Daniels, Marina Velikova:
  Monotone and partially monotone neural networks. 906-917
  
• Xing-Bao Gao, Li-Zhi Liao:
  A new one-layer neural network for linear and quadratic programming. 918-929
  
• Bogdan M. Wilamowski, Hao Yu:
  Improved computation for Levenberg-Marquardt training. 930-937
  
• Kevin I.-J. Ho, Chi-Sing Leung, John Sum:
  Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks. 938-947
  
• Mauro Tucci, Marco Raugi:
  Adaptive FIR neural model for centroid learning in self-organizing maps. 948-960
  
• Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz, Ryszard Wojtyna:
  Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks. 961-971
  
• Oswaldo Ludwig, Urbano Nunes:
  Novel maximum-margin training algorithms for supervised neural networks. 972-984
  
• Javan Tan, Chai Quek:
  A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning. 985-1003
  
• Sotirios P. Chatzis, Gabriel Tsechpenakis:
  The infinite hidden Markov random field model. 1004-1014
  
• Evaldo Araújo De Oliveira, Nestor Caticha:
  Inference from aging information. 1015-1020
  
• Santanu Ghorai, Anirban Mukherjee, Pranab K. Dutta:
  Discriminant analysis for fast multiclass data classification through regularized kernel function approximation. 1020-1029
  

Volume 21, Number 7, July 2010

• Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin:
  Discriminative semi-supervised feature selection via manifold regularization. 1033-1047
  
• Masayuki Karasuyama, Ichiro Takeuchi:
  Multiple incremental decremental learning of support vector machines. 1048-1059
  
• Masaki Kobayashi:
  Exceptional reducibility of complex-valued neural networks. 1060-1072
  
• Xiaolin Hu, Changyin Sun, Bo Zhang:
  Design of recurrent neural networks for solving constrained least absolute deviation problems. 1073-1086
  
• Basabdatta Sen Bhattacharya, Stephen B. Furber:
  Biologically inspired means for rank-order encoding images: a quantitative analysis. 1087-1099
  
• Chengde Zheng, Huaguang Zhang, Zhanshan Wang:
  An augmented LKF approach involving derivative information of both state and delay. 1100-1109
  
• Walter Allegretto, Duccio Papini, Mauro Forti:
  Common asymptotic behavior of solutions and almost periodicity for discontinuous, delayed, and impulsive neural networks. 1110-1125
  
• Wu-Hua Chen, Wei Xing Zheng:
  A new method for complete stability analysis of cellular neural networks with time delay. 1126-1139
  
• Qingshan Liu, Chuangyin Dang, Jinde Cao:
  A novel recurrent neural network with one neuron and finite-time convergence for k-winners-take-all operation. 1140-1148
  
• Chih-Min Lin, Li-Yang Chen, Daniel S. Yeung:
  Adaptive filter design using recurrent cerebellar model articulation controller. 1149-1157
  
• Agustín Gajate, Rodolfo E. Haber, Pastora I. Vega, José R. Alique:
  A transductive neuro-fuzzy controller: application to a drilling process. 1158-1167
  
• Badong Chen, Yu Zhu, Jinchun Hu:
  Mean-square convergence analysis of ADALINE training with minimum error entropy criterion. 1168-1179
  
• Vu N. Phat, H. Trinh:
  Exponential stabilization of neural networks with various activation functions and mixed time-varying delays. 1180-1184
  
• Huajin Tang, Haizhou Li, Zhang Yi:
  A discrete-time neural network for optimization problems with hybrid constraints. 1184-1189
  
• Yuanqing Li, Shun-ichi Amari:
  Two conditions for equivalence of 0-norm solution and 1-norm solution in sparse representation. 1189-1196
  

Volume 21, Number 8, August 2010

• Chunhua Feng, Réjean Plamondon, Christian O'Reilly:
  On some necessary and sufficient conditions for a recurrent neural network model with time delays to generate oscillations. 1197-1205
  
• Jianyong Sun, Ata Kabán:
  A fast algorithm for robust mixtures in the presence of measurement errors. 1206-1220
  
• Johnny Wei-Hsun Kao, Stevan M. Berber, Vojislav Kecman:
  Blind multiuser detector for chaos-based CDMA using support vector machine. 1221-1231
  
• Andrew Chi-Sing Leung, Hongjiang Wang, John Sum:
  On the selection of weight decay parameter for faulty networks. 1232-1244
  
• Elias B. Kosmatopoulos:
  Control of unknown nonlinear systems with efficient transient performance using concurrent exploitation and exploration. 1245-1261
  
• John Seiffertt, Donald C. Wunsch:
  Backpropagation and ordered derivatives in the time scales calculus. 1262-1269
  
• Baohua Li, Jennie Si:
  Approximate robust policy iteration using multilayer perceptron neural networks for discounted infinite-horizon Markov decision processes with uncertain correlated transition matrices. 1270-1280
  
• Eduardo Rodriguez-Martinez, John Yannis Goulermas, Tingting Mu, Jason F. Ralph:
  Automatic induction of projection pursuit indices. 1281-1295
  
• Yi-Hung Liu, Yan-Chen Liu, Yen-Jen Chen:
  Fast support vector data descriptions for novelty detection. 1296-1313
  
• Quanxin Zhu, Jinde Cao:
  Robust exponential stability of Markovian jump impulsive stochastic Cohen-Grossberg neural networks with mixed time delays. 1314-1325
  
• Thanh Minh Nguyen, Q. M. Jonathan Wu, Siddhant Ahuja:
  An extension of the standard mixture model for image segmentation. 1326-1338
  
• Beibei Ren, Shuzhi Sam Ge, Keng Peng Tee, Tong Heng Lee:
  Adaptive neural control for output feedback nonlinear systems using a barrier Lyapunov function. 1339-1345
  
• Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal:
  Marginalized neural network mixtures for large-scale regression. 1345-1351
  
• Long Cheng, Zeng-Guang Hou, Min Tan, Yingzi Lin, Wenjun Chris Zhang:
  Neural-network-based adaptive leader-following control for multiagent systems with uncertainties. 1351-1358
  
• Donglian Qi, Meiqin Liu, Meikang Qiu, Senlin Zhang:
  Exponential H INFINITY synchronization of general discrete-time chaotic neural networks with or without time delays. 1358-1365
  
• Tao Li, Aiguo Song, Shumin Fei, Ting Wang:
  Delay-derivative-dependent stability for delayed neural networks with unbound distributed delay. 1365-1371
  
• Zhigang Zeng, Tingwen Huang, Wei Xing Zheng:
  Multistability of recurrent neural networks with time-varying delays and the piecewise linear activation function. 1371-1377
  

Volume 21, Number 9, September 2010

• Shuning Wang, Xiaolin Huang, Yeung Yam:
  A neural network of smooth hinge functions. 1381-1395
  
• Ligang Wu, Zhiguang Feng, Wei Xing Zheng:
  Exponential stability analysis for delayed neural networks with switching parameters: average dwell time approach. 1396-1407
  
• Sung Hwan Won, Iickho Song, Sun-Young Lee, Cheol Hoon Park:
  Identification of finite state automata with a class of recurrent neural networks. 1408-1421
  
• Ming Sun, Lin Zhao, Wei Cao, Yao-qun Xu, Xuefeng Dai, Xiaoxu Wang:
  Novel hysteretic noisy chaotic neural network for broadcast scheduling problems in packet radio networks. 1422-1433
  
• José Luis Aznarte, José Manuel Benítez:
  Equivalences between neural-autoregressive time series models and fuzzy systems. 1434-1444
  
• Mingming Sun, Jian Yang, Chuancai Liu, Jingyu Yang:
  Similarity preserving principal curve: an optimal 1-D feature extractor for data representation. 1445-1456
  
• An-Min Zou, Krishna Dev Kumar, Zeng-Guang Hou:
  Quaternion-based adaptive output feedback attitude control of spacecraft using Chebyshev neural networks. 1457-1471
  
• Yoshikazu Washizawa, Yukihiko Yamashita, Toshihisa Tanaka, Andrzej Cichocki:
  Blind extraction of global signal from multi-channel noisy observations. 1472-1481
  
• Lu Xu, Tommy W. S. Chow:
  Self-organizing potential field network: a new optimization algorithm. 1482-1495
  
• Jun Wang:
  Analysis and design of a k-winners-take-all model with a single state variable and the heaviside step activation function. 1496-1506
  
• Konstantin Y. Volyanskyy, Wassim M. Haddad:
  A Q-modification neuroadaptive control architecture for discrete-time systems. 1507-1511
  
• Hsin Chen, Sylvain Saïghi, Laure Buhry, Sylvie Renaud:
  Real-time simulation of biologically realistic stochastic neurons in VLSI. 1511-1517
  
• Muzhou Hou, Xuli Han:
  Constructive approximation to multivariate function by decay RBF neural network. 1517-1523
  
• Chunhua Shen, Junae Kim, Lei Wang:
  Scalable large-margin Mahalanobis distance metric learning. 1524-1530
  

Volume 21, Number 10, October 2010

• Seung-Mook Baek, Jung-Wook Park:
  Hessian matrix estimation in hybrid systems based on an embedded FFNN. 1533-1542
  
• Ezequiel López-Rubio:
  Probabilistic self-organizing maps for continuous data. 1543-1554
  
• Xiaodi Li, Jianhua Shen:
  LMI approach for stationary oscillation of interval neural networks with discrete and distributed time-varying delays under impulsive perturbations. 1555-1563
  
• Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. Tsang:
  Incorporating the loss function into discriminative clustering of structured outputs. 1564-1575
  
• Kai Zhang, James T. Kwok:
  Clustered Nyström method for large scale manifold learning and dimension reduction. 1576-1587
  
• Ioannis Psorakis, Theodoros Damoulas, Mark A. Girolami:
  Multiclass relevance vector machines: sparsity and accuracy. 1588-1598
  
• Sevcan Yilmaz, Yusuf Oysal:
  Fuzzy wavelet neural network models for prediction and identification of dynamical systems. 1599-1609
  
• Jialue Fan, Wei Xu, Ying Wu, Yihong Gong:
  Human tracking using convolutional neural networks. 1610-1623
  
• Sheng Chen, Haibo He, Edwardo A. Garcia:
  RAMOBoost: ranked minority oversampling in boosting. 1624-1642
  
• Zhenkun Huang, Xinghua Wang, Chunhua Feng:
  Multiperiodicity of periodically oscillated discrete-time neural networks with transient excitatory self-connections and sigmoidal nonlinearities. 1643-1655
  
• Xinsong Yang, Jinde Cao, Yao Long, Weiguo Rui:
  Adaptive lag synchronization for competitive neural networks with mixed delays and uncertain hybrid perturbations. 1656-1667
  
• Jan Faigl:
  Approximate solution of the multiple watchman routes problem with restricted visibility range. 1668-1679
  
• Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu:
  Behavior-constrained support vector machines for fMRI data analysis. 1680-1685
  
• Fei Cheng, Jiangsheng Yu, Huilin Xiong:
  Facial expression recognition in JAFFE dataset based on Gaussian process classification. 1685-1690
  
• Jiali Yu, Zhang Yi, Jiliu Zhou:
  Continuous attractors of Lotka-Volterra recurrent neural networks with infinite neurons. 1690-1695
  

Volume 21, Number 11, November 2010

• Joo Heon Shin, Dave Smith, Waldemar Swiercz, Kevin Staley, John T. Rickard, J. Montero, Lukasz A. Kurgan, Krzysztof J. Cios:
  Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons. 1697-1709
  
• Zhenwei Liu, Huaguang Zhang, Qingling Zhang:
  Novel Stability Analysis for Recurrent Neural Networks With Multiple Delays via Line Integral-Type L-K Functional. 1710-1718
  
• H. Yoshino, Chen Dong, Yoshikazu Washizawa, Y. Yamashita:
  Kernel Wiener Filter and Its Application to Pattern Recognition. 1719-1730
  
• Eduardo Bayro-Corrochano, Nancy Arana-Daniel:
  Clifford Support Vector Machines for Classification, Regression, and Recurrence. 1731-1746
  
• Jaroslaw Piersa, Filip Piekniewski, Tomasz Schreiber:
  Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks. 1747-1758
  
• N. Boely, R. M. Botez:
  New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks. 1759-1765
  
• B. Gas:
  Self-Organizing MultiLayer Perceptron. 1766-1779
  
• Daniel Le Ly, Paul Chow:
  High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines. 1780-1792
  
• Bogdan M. Wilamowski, Hao Yu:
  Neural Network Learning Without Backpropagation. 1793-1803
  
• Min Wang, Shuzhi Sam Ge, Keum-Shik Hong:
  Approximation-Based Adaptive Tracking Control of Pure-Feedback Nonlinear Systems With Multiple Unknown Time-Varying Delays. 1804-1816
  
• John J. Wade, L. J. McDaid, Jose A. Santos, Heather M. Sayers:
  SWAT: A Spiking Neural Network Training Algorithm for Classification Problems. 1817-1830
  
• Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin:
  Semisupervised Kernel Matrix Learning by Kernel Propagation. 1831-1841
  
• Hongyi Li, Huijun Gao, Peng Shi:
  New Passivity Analysis for Neural Networks With Discrete and Distributed Delays. 1842-1847
  
• Yang Liu, Yan Liu, Keith C. C. Chan:
  Tensor Distance Based Multilinear Locality-Preserved Maximum Information Embedding. 1848-1854
  

Volume 21, Number 12, December 2010

• Charalampos P. Bechlioulis, Zoe Doulgeri, George A. Rovithakis:
  Neuro-Adaptive Force/Position Control With Prescribed Performance and Guaranteed Contact Maintenance. 1857-1868
  
• Roland Badeau, Nancy Bertin, Emmanuel Vincent:
  Stability Analysis of Multiplicative Update Algorithms and Application to Nonnegative Matrix Factorization. 1869-1881
  
• S.-S. Yang, C.-L. Ho, S. Siu:
  Computing and Analyzing the Sensitivity of MLP Due to the Errors of the i.i.d. Inputs and Weights Based on CLT. 1882-1891
  
• Nikolay V. Manyakov, Rufin Vogels, Marc M. Van Hulle:
  Decoding Stimulus-Reward Pairing From Local Field Potentials Recorded From Monkey Visual Cortex. 1892-1902
  
• D. D. Nguyen, K. Matsumoto, Y. Takishima, Kenji Hashimoto:
  Condensed Vector Machines: Learning Fast Machine for Large Data. 1903-1914
  
• Ahmed M. Allam, Hazem M. Abbas:
  On the Improvement of Neural Cryptography Using Erroneous Transmitted Information With Error Prediction. 1915-1924
  
• Grigorios Tzortzis, C. L. Likas:
  Multiple View Clustering Using a Weighted Combination of Exemplar-Based Mixture Models. 1925-1938
  
• Igor N. Aizenberg:
  Periodic Activation Function and a Modified Learning Algorithm for the Multivalued Neuron. 1939-1949
  
• Alexander Russell, Garrick Orchard, Yi Dong, Stefan Mihalas, Ernst Niebur, Jonathan Tapson, Ralph Etienne-Cummings:
  Optimization Methods for Spiking Neurons and Networks. 1950-1962
  
• Zhouyu Fu, Antonio Robles-Kelly, Jun Zhou:
  Mixing Linear SVMs for Nonlinear Classification. 1963-1975
  
• Z. M. Wang, Qing Song, Yeng Chai Soh, Kang Sim:
  Robust Curve Clustering Based on a Multivariate t -Distribution Model. 1976-1984
  
• Isaac Triguero, Salvador García, Francisco Herrera:
  IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. 1984-1990
  
• S. Huh, D. Lee:
  Linear Discriminant Analysis for Signatures. 1990-1996
  

Last update Thu May 23 16:06:07 2013 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page