Neurocomputing, Volume 70

Volume 70, Numbers 1-3, December 2006

Neural Networks - Selected Papers from the 7th Brazilian Symposium on Neural Networks (SBRN '04), 7th Brazilian Symposium on Neural Networks

• 
  Aluizio F. R. Araújo, André Carlos Ponce de Leon Ferreira de Carvalho:
  The Brazilian Symposium on Neural Networks (SBRN'04). 1-2
• 
  Marilene de Pinho, Marcelo B. Mazza, Antônio C. Roque-da-Silva:
  A computational model of the primary auditory cortex exhibiting plasticity in the frequency representation. 3-8
• 
  Allan Kardec Barros, José Carlos Príncipe, Yoshinori Takeuchi, Noboru Ohnishi:
  Using non-linear even functions for error minimization in adaptive filters. 9-13
• 
  Murilo Saraiva de Queiroz, Roberto Coelho de Berrêdo, Antônio de Pádua Braga:
  Reinforcement learning of a simple control task using the spike response model. 14-20
• 
  Arthur Plínio de S. Braga, Aluizio F. R. Araújo:
  Influence zones: A strategy to enhance reinforcement learning. 21-34
• 
  Pedro Paulo Balbi de Oliveira, José C. Bortot, Gina M. B. Oliveira:
  The best currently known class of dynamically equivalent cellular automata rules for density classification. 35-43
• 
  Renato Tinós, André Carlos Ponce de Leon Ferreira de Carvalho:
  Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems. 44-54
• 
  Osmar de Araújo Dourado Júnior, Adrião Duarte Dória Neto, Wilson da Mata:
  Determination of multiple direction of arrival in antennas arrays with radial basis functions. 55-61
• 
  Renato Fernandes Corrêa, Teresa Bernarda Ludermir:
  Improving self-organization of document collections by semantic mapping. 62-69
• 
  Haroldo G. Santos, Luiz Satoru Ochi, E. H. Marinho, Lúcia Maria de A. Drummond:
  Combining an evolutionary algorithm with data mining to solve a single-vehicle routing problem. 70-77

Regular papers

• 
  Adriano L. I. Oliveira, Silvio Romero de Lemos Meira:
  Detecting novelties in time series through neural networks forecasting with robust confidence intervals. 79-92
• 
  Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong, P. Uvaraj, Xiu Ju Fu, H. P. Lee:
  Developing parallel sequential minimal optimization for fast training support vector machine. 93-104
• 
  K. Shanti Swarup, G. Sudhakar:
  Neural network approach to contingency screening and ranking in power systems. 105-118
• 
  K. Shanti Swarup, P. V. Simi:
  Neural computation using discrete and continuous Hopfield networks for power system economic dispatch and unit commitment. 119-129
• 
  Chien-Min Ou, Wen-Jyi Hwang, Wen-Wei Hu, Tsung-Yan Lo:
  Concurrent genetic optimization for joint design of source and channel codes. 130-138
• 
  D. Benaouda, Fionn Murtagh, Jean-Luc Starck, Olivier Renaud:
  Wavelet-based nonlinear multiscale decomposition model for electricity load forecasting. 139-154
• 
  Minh Ha Nguyen, Hussein A. Abbass, Robert I. McKay:
  A novel mixture of experts model based on cooperative coevolution. 155-163
• 
  Zhaohui Yuan, Lifen Yuan, Lihong Huang:
  Dynamics of periodic Cohen-Grossberg neural networks with varying delays. 164-172
• 
  Shawkat Ali, Kate Amanda Smith-Miles:
  A meta-learning approach to automatic kernel selection for support vector machines. 173-186
• 
  Kyung-Joong Kim, Sung-Bae Cho:
  Ensemble classifiers based on correlation analysis for DNA microarray classification. 187-199
• 
  Maxime Ambard, Dominique Martinez:
  Inhibitory control of spike timing precision. 200-205
• 
  Liangsuo Ma, Ah Chung Tsoi:
  Balanced parameterization of multichannel blind deconvolutive systems: A continuous time realization. 206-218
• 
  Shaofen Zou, Lihong Huang, Yuming Chen:
  Linear stability and Hopf bifurcation in a three-unit neural network with two delays. 219-228
• 
  Hyung-Min Park, Sang-Hoon Oh, Soo-Young Lee:
  A modified infomax algorithm for blind signal separation. 229-240
• 
  Hsuan-Ming Feng:
  Self-generation RBFNs using evolutional PSO learning. 241-251
• 
  Anton V. Chizhov, Lyle J. Graham, Andrey A. Turbin:
  Simulation of neural population dynamics with a refractory density approach and a conductance-based threshold neuron model. 252-262
• 
  Xiao-mei Pei, Chongxun Zheng, Wei-xing He, Jin Xu:
  Quantitative measure of complexity of the dynamic event-related EEG data. 263-272
• 
  Xuyang Lou, Baotong Cui:
  On the global robust asymptotic stability of BAM neural networks with time-varying delays. 273-279
• 
  Jian Shi, Xinggao Liu, Youxian Sun:
  Melt index prediction by neural networks based on independent component analysis and multi-scale analysis. 280-287
• 
  Yuangang Tang, Fuchun Sun, Zengqi Sun:
  Neural network control of flexible-link manipulators using sliding mode. 288-295
• 
  Elif Derya Übeyli, Inan Güler:
  Adaptive neuro-fuzzy inference system to compute quasi-TEM characteristic parameters of microshield lines with practical cavity sidewall profiles. 296-304
• 
  Yuehui Chen, Ajith Abraham, Bo Yang:
  Feature selection and classification using flexible neural tree. 305-313
• 
  Yurong Liu, Zidong Wang, Xiaohui Liu:
  On global exponential stability of generalized stochastic neural networks with mixed time-delays. 314-326
• 
  Jens P. Eberhard, Alexander Wanner, Gabriel Wittum:
  NeuGen: A tool for the generation of realistic morphology of cortical neurons and neural networks in 3D. 327-342
• 
  Haijun Jiang, Jinde Cao:
  Global exponential stability of periodic neural networks with time-varying delays. 343-350
• 
  Leonardo Franco:
  Generalization ability of Boolean functions implemented in feedforward neural networks. 351-361
• 
  Jian Cheng Lv, Zhang Yi, Kok Kiong Tan:
  Convergence analysis of Xu's LMSER learning algorithm via deterministic discrete time system method. 362-372
• 
  Dik Kin Wong, E. Timothy Uy, Marcos Perreau Guimaraes, Wayne Yang, Patrick Suppes:
  Interpretation of perceptron weights as constructed time series for EEG classification. 373-383
• 
  Eduardo R. Hruschka, Nelson F. F. Ebecken:
  Extracting rules from multilayer perceptrons in classification problems: A clustering-based approach. 384-397
• 
  Edmondo Trentin, Marco Gori:
  Inversion-based nonlinear adaptation of noisy acoustic parameters for a neural/HMM speech recognizer. 398-408
• 
  Zeke S. H. Chan, H. W. Ngan, Ahmad B. Rad, A. K. David, Nikola K. Kasabov:
  Short-term ANN load forecasting from limited data using generalization learning strategies. 409-419
• 
  Danian Zheng, Jiaxin Wang, Yannan Zhao:
  Non-flat function estimation with a multi-scale support vector regression. 420-429
• 
  Wen Yu:
  Multiple recurrent neural networks for stable adaptive control. 430-444
• 
  Di Wang, Narendra S. Chaudhari:
  A fast modified constructive-covering algorithm for binary multi-layer neural networks. 445-461
• 
  Xunxian Wang, Sheng Chen, David Lowe, Chris J. Harris:
  Sparse support vector regression based on orthogonal forward selection for the generalised kernel model. 462-474
• 
  Sergio Bermejo:
  The regularized LVQ1 algorithm. 475-488
• 
  Guang-Bin Huang, Qin-Yu Zhu, Chee Kheong Siew:
  Extreme learning machine: Theory and applications. 489-501
• 
  Jiun-Chi Jan, Chih-Ming Chen, Liang-Hao Hsiao:
  Inverse training scheme for MS_CMAC neural network to handle random training data. 502-512
• 
  Yunong Zhang:
  A set of nonlinear equations and inequalities arising in robotics and its online solution via a primal neural network. 513-524
• 
  Changhua Yu, Michael T. Manry, Jiang Li, Pramod Lakshmi Narasimha:
  An efficient hidden layer training method for the multilayer perceptron. 525-535
• 
  Hongyong Zhao, Kunlun Wang:
  Dynamical behaviors of Cohen-Grossberg neural networks with delays and reaction-diffusion terms. 536-543
• 
  Jinhua Xu, Daniel W. C. Ho:
  A new training and pruning algorithm based on node dependence and Jacobian rank deficiency. 544-558
• 
  Chia-Feng Juang, Shui-Tien Huang, Fun-Bin Duh:
  Mold temperature control of a rubber injection-molding machine by TSK-type recurrent neural fuzzy network. 559-567
• 
  Xiangyu Kong, Chongzhao Han, Ruixuan Wei:
  Modified gradient algorithm for total least square filtering. 568-576
• 
  István Szita, András Lörincz:
  PIRANHA: Policy iteration for recurrent artificial neural networks with hidden activities. 577-591

Letters

• 
  Ji-Xiang Du, De-Shuang Huang, Guo-Jun Zhang, Zengfu Wang:
  A novel full structure optimization algorithm for radial basis probabilistic neural networks. 592-596
• 
  Heng Liu, Jingqi Yan, David Zhang:
  Three-dimensional surface registration: A neural network strategy. 597-602
• 
  Anke Meyer-Bäse, Sergei S. Pilyugin:
  Stability analysis of an unsupervised neural network with feedforward and feedback dynamics. 603-606

Volume 70, Numbers 4-6, January 2007

Advanced Neurocomputing Theory and Methodology - Selected papers from the International Conference on Intelligent Computing 2005 (ICIC 2005), International Conference on Intelligent Computing 2005

• 
  De-Shuang Huang, Prashan Premaratne:
  Advanced Neurocomputing Theory and Methodology. 623-624
• 
  Huizhong Yang, Jiang Li, Feng Ding:
  A neural network learning algorithm of chemical process modeling based on the extended Kalman filter. 625-632
• 
  Yan Wang, Xiaoyue Feng, Yanxin Huang, Dongbing Pu, Wengang Zhou, Yanchun Liang, Chunguang Zhou:
  A novel quantum swarm evolutionary algorithm and its applications. 633-640
• 
  Zhihong Yao, Minrui Fei, Kang Li, Hainan Kong, Bo Zhao:
  Recognition of blue-green algae in lakes using distributive genetic algorithm-based neural networks. 641-647
• 
  Mi Young Nam, Md. Rezaul Bashar, Phill-Kyu Rhee:
  Adaptive feature representation for robust face recognition using context-aware approach. 648-656
• 
  Jae-Soo Cho, Byoung-Ju Yun, Yun-Ho Ko:
  Intelligent video tracking based on fuzzy-reasoning segmentation. 657-664
• 
  Yanfang Han, Pengfei Shi:
  An improved ant colony algorithm for fuzzy clustering in image segmentation. 665-671
• 
  Yu Liu, Zheng Qin, Zhewen Shi, Jiang Lu:
  Center particle swarm optimization. 672-679
• 
  Ying Li, Yuanchun Li:
  Neural-fuzzy control of truck backer-upper system using a clustering method. 680-688
• 
  Yang Weon Lee:
  Neural solution to the target intercept problems in a gun fire control system. 689-696
• 
  Yuehui Chen, Bo Yang, Ajith Abraham:
  Flexible neural trees ensemble for stock index modeling. 697-703
• 
  Vassilis S. Kodogiannis, M. Boulougoura, John N. Lygouras, Ilias Petrounias:
  A neuro-fuzzy-based system for detecting abnormal patterns in wireless-capsule endoscopic images. 704-717
• 
  Ran Bi, Yanhong Zhou, Feng Lu, Weiqiang Wang:
  Predicting Gene Ontology functions based on support vector machines and statistical significance estimation. 718-725
• 
  Weibei Dou, Yuan Ren, Qian Wu, Su Ruan, Yanping Chen, Daniel Bloyet, Jean-Marc Constans:
  Fuzzy kappa for the agreement measure of fuzzy classifications. 726-734
• 
  Wangmeng Zuo, Kuanquan Wang, David Zhang, Hongzhi Zhang:
  Combination of two novel LDA-based methods for face recognition. 735-742
• 
  Li Yu, Kuanquan Wang, David Zhang:
  Extracting the autonomic nerve wreath of iris based on an improved snake approach. 743-748
• 
  Jiaju Zheng, Shuying Cao, Hongli Wang, Wenmei Huang:
  Hybrid genetic algorithms for parameter identification of a hysteresis model of magnetostrictive actuators. 749-761
• 
  Kang Li, Jian Xun Peng:
  Neural input selection - A fast model-based approach. 762-769
• 
  Xiaogang Ruan, Mingxiao Ding, Daoxiong Gong, Junfei Qiao:
  On-line adaptive control for inverted pendulum balancing based on feedback-error-learning. 770-776
• 
  Weisheng Dong, Guangming Shi, Li Zhang:
  Immune memory clonal selection algorithms for designing stack filters. 777-784
• 
  Rui Nian, Guangrong Ji, Wencang Zhao, Chen Feng:
  Probabilistic 3D object recognition from 2D invariant view sequence based on similarity. 785-793
• 
  Zhong Jin, Zhen Lou, Jing-Yu Yang, Quan-Sen Sun:
  Face detection using template matching and skin-color information. 794-800
• 
  Jigang Wang, Predrag Neskovic, Leon N. Cooper:
  Bayes classification based on minimum bounding spheres. 801-808
• 
  Zhonghui Feng, Bing Zhou, Junyi Shen:
  A parallel hierarchical clustering algorithm for PCs cluster system. 809-818
• 
  Patrick J. Connally, Kang Li, George W. Irwin:
  Prediction- and simulation-error based perceptron training: Solution space analysis and a novel combined training scheme. 819-827
• 
  Xiaojun Wu, Jieping Lu, Jing-Yu Yang, Shitong Wang, Josef Kittler:
  An extreme case of the generalized optimal discriminant transformation and its application to face recognition. 828-834
• 
  Hong-Nan Li, Hao Yang:
  System identification of dynamic structure by the multi-branch BPNN. 835-841
• 
  Xiaoxun Zhang, Yunde Jia:
  Symmetrical null space LDA for face and ear recognition. 842-848
• 
  Jia Jia, Lianhong Cai, Pinyan Lu, Xuhui Liu:
  Fingerprint matching based on weighting method and the SVM. 849-858
• 
  Shengfeng Tian, Shaomin Mu, Chuanhuan Yin:
  Sequence-similarity kernels for SVMs to detect anomalies in system calls. 859-866
• 
  Yumin Zhang, Lei Guo, Haisheng Yu, Keyou Zhao:
  Fault tolerant control based on stochastic distributions via MLP neural networks. 867-874
• 
  Jian Ye, Junfei Qiao, Ming-Ai Li, Xiaogang Ruan:
  A tabu based neural network learning algorithm. 875-882
• 
  Shujun Fu, Qiuqi Ruan, Wenqia Wang, Fuzheng Gao, Heng-Da Cheng:
  A feature-dependent fuzzy bidirectional flow for adaptive image sharpening. 883-895
• 
  Ji-Xiang Du, De-Shuang Huang, Xiaofeng Wang, Xiao Gu:
  Shape recognition based on neural networks trained by differential evolution algorithm. 896-903
• 
  Congde Lu, Chunmei Zhang, Taiyi Zhang, Wei Zhang:
  Kernel based symmetrical principal component analysis for face classification. 904-911
• 
  Sibao Chen, Haifeng Zhao, Min Kong, Bin Luo:
  2D-LPP: A two-dimensional extension of locality preserving projections. 912-921
• 
  Jun Zhou, Guangda Su, Chunhong Jiang, Yafeng Deng, Congcong Li:
  A face and fingerprint identity authentication system based on multi-route detection. 922-931
• 
  Yan-Sheng Yang, Xiao-Feng Wang:
  Adaptive H_infinity tracking control for a class of uncertain nonlinear systems using radial-basis-function neural networks. 932-941
• 
  Vincent C. S. Lee, Hsiao Tshung Wong:
  A multivariate neuro-fuzzy system for foreign currency risk management decision making. 942-951
• 
  Hui Wang, Daoying Pi, Youxian Sun:
  Online SVM regression algorithm-based adaptive inverse control. 952-959

Regular papers

• 
  Jeongho Cho, José C. Príncipe, Deniz Erdogmus, Mark A. Motter:
  Quasi-sliding mode control strategy based on multiple-linear models. 960-974
• 
  Simon M. Stringer, Edmund T. Rolls:
  Hierarchical dynamical models of motor function. 975-990
• 
  Pradeep Arkachar, Meghanad D. Wagh:
  Criticality of lateral inhibition for edge enhancement in neural systems. 991-999
• 
  Richard T. Gray, Peter A. Robinson:
  Stability and spectra of randomly connected excitatory cortical networks. 1000-1012
• 
  Paulo Henrique Siqueira, Maria Teresinha Arns Steiner, Sérgio Scheer:
  A new approach to solve the traveling salesman problem. 1013-1021
• 
  Hema Chandrasekaran, Jiang Li, Walter H. Delashmit, Pramod Lakshmi Narasimha, Changhua Yu, Michael T. Manry:
  Convergent design of piecewise linear neural networks. 1022-1039
• 
  Tommy W. S. Chow, M. K. M. Rahman:
  A new image classification technique using tree-structured regional features. 1040-1050

Letters

• 
  Fei Chen, Yuan-Ting Zhang:
  An integrate-and-fire-based auditory nerve model and its response to high-rate pulse train. 1051-1055
• 
  Yong Xu, David Zhang, Fengxi Song, Jing-Yu Yang, Zhong Jing, Miao Li:
  A method for speeding up feature extraction based on KPCA. 1056-1061
• 
  Jing Zhou, Meng Joo Er, Jacek M. Zurada:
  Adaptive neural network control of uncertain nonlinear systems with nonsmooth actuator nonlinearities. 1062-1070
• 
  Xuyang Lou, Baotong Cui:
  Passivity analysis of integro-differential neural networks with time-varying delays. 1071-1078
• 
  Richard Stafford, F. Claire Rind:
  Data mining neural spike trains for the identification of behavioural triggers using evolutionary algorithms. 1079-1084
• 
  Wei Wu, Baotong Cui, Xuyang Lou:
  Some criteria for asymptotic stability of Cohen-Grossberg neural networks with time-varying delays. 1085-1088
• 
  Ángel Navia-Vázquez:
  Support vector perceptrons. 1089-1095
• 
  Lifeng Shang, Zhang Yi:
  A class of binary images thinning using two PCNNs. 1096-1101
• 
  Jianlong Qiu:
  Exponential stability of impulsive neural networks with time-varying delays and reaction-diffusion terms. 1102-1108

Volume 70, Numbers 7-9, March 2007

Advances in Computational Intelligence and Learning - 14th European Symposium on Artificial Neural Networks 2006, 14th European Symposium on Artificial Neural Networks 2006

• 
  Michael Biehl, Erzsébet Merényi, Fabrice Rossi:
  Advances in computational intelligence and learning. 1117-1119
• 
  Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt:
  Displaced strategies optimize connectivity in neocortical networks. 1121-1129
• 
  Nicholas Butko, Jochen Triesch:
  Learning sensory representations with intrinsic plasticity. 1130-1138
• 
  Leena N. Patel, Alan F. Murray, John Hallam:
  Super-lampreys and wave energy: Optimised control of artificially-evolved, simulated swimming lamprey. 1139-1154
• 
  Nicolás García-Pedrajas, Colin Fyfe:
  Immune network based ensembles. 1155-1166
• 
  Nigel T. Crook:
  Nonlinear transient computation. 1167-1176
• 
  Carlos Lourenço:
  Dynamical computation reservoir emerging within a biological model network. 1177-1185
• 
  Bernard Girau, César Torres-Huitzil:
  Massively distributed digital implementation of an integrate-and-fire LEGION network for visual scene segmentation. 1186-1197
• 
  Tong Boon Tang, Alan F. Murray:
  Adaptive sensor modelling and classification using a continuous restricted Boltzmann machine (CRBM). 1198-1206
• 
  Frédéric Vrins, Dinh-Tuan Pham:
  Minimum range approach to blind partial simultaneous separation of bounded sources: Contrast and discriminacy properties. 1207-1214
• 
  Frank-Michael Schleif, Barbara Hammer, Thomas Villmann:
  Margin-based active learning for LVQ networks. 1215-1224
• 
  Barbara Hammer, Alexander Hasenfuss, Thomas Villmann:
  Magnification control for batch neural gas. 1225-1234
• 
  Jochen J. Steil, Michael Götting, Heiko Wersing, Edgar Körner, Helge J. Ritter:
  Adaptive scene dependent filters for segmentation and online learning of visual objects. 1235-1246
• 
  Benjamin Schrauwen, Jan Van Campenhout:
  Linking non-binned spike train kernels to several existing spike train metrics. 1247-1253
• 
  Sándor Szedmák, John Shawe-Taylor:
  Synthesis of maximum margin and multiview learning using unlabeled data. 1254-1264
• 
  Geoffroy Simon, Michel Verleysen:
  High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria. 1265-1275
• 
  Damien François, Fabrice Rossi, Vincent Wertz, Michel Verleysen:
  Resampling methods for parameter-free and robust feature selection with mutual information. 1276-1288
• 
  Stefan Klanke, Helge J. Ritter:
  Variants of unsupervised kernel regression: General cost functions. 1289-1303
• 
  Michaël Aupetit:
  Visualizing distortions and recovering topology in continuous projection techniques. 1304-1330

Regular papers

• 
  F. Liu, Geok See Ng, Chai Quek:
  RLDDE: A novel reinforcement learning-based dimension and delay estimator for neural networks in time series prediction. 1331-1341
•