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IEEE Transactions on Neural Networks, Volume 17
Volume 17, Number 1, January 2006
- Kazushi Ikeda:
Effects of kernel function on Nu support vector machines in extreme cases. 1-9 - Monica Bianchini, Marco Gori, Lorenzo Sarti, Franco Scarselli:
Recursive processing of cyclic graphs. 10-18 - Yong Xu, Kwok-Wo Wong, Chi-Sing Leung:
Generalized RLS approach to the training of neural networks. 19-34 - Vivien Rossi, Jean-Pierre Vila:
Bayesian multioutput feedforward neural networks comparison: a conjugate prior approach. 35-47 - Ivor Wai-Hung Tsang, James Tin-Yau Kwok:
Efficient hyperkernel learning using second-order cone programming. 48-58 - Sylvain Chartier, Mounir Boukadoum:
A sequential dynamic heteroassociative memory for multistep pattern recognition and one-to-many association. 59-68 - Jinn-Tsong Tsai, Jyh-Horng Chou, Tung-Kuan Liu:
Tuning the structure and parameters of a neural network by using hybrid Taguchi-genetic algorithm. 69-80 - Rory G. Mulvaney, Dhananjay S. Phatak:
Generalized haar DWT and transformations between decision trees and neural networks. 81-93 - Waldemar Swiercz, Krzysztof J. Cios, Kevin Staley, Lukasz A. Kurgan, Frank Accurso, Scott Sagel:
A new synaptic plasticity rule for networks of spiking neurons. 94-105 - Shangjiang Guo, Lihong Huang:
Stability analysis of Cohen-Grossberg neural networks. 106-117 - Farzaneh Abdollahi, Heidar A. Talebi, Rajnikant V. Patel:
A stable neural network-based observer with application to flexible-joint manipulators. 118-129 - Cong Wang, David J. Hill:
Learning from neural control. 130-146 - Wenzhi Gao, Rastko R. Selmic:
Neural network control of a class of nonlinear systems with actuator saturation. 147-156 - Haifeng Li, Tao Jiang, Keshu Zhang:
Efficient and robust feature extraction by maximum margin criterion. 157-165 - Juwei Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos, Stan Z. Li:
Ensemble-based discriminant learning with boosting for face recognition. 166-178 - Samer A. Abdallah, Mark D. Plumbley:
Unsupervised analysis of polyphonic music by sparse coding. 179-196 - Seiji Kameda, Tetsuya Yagi:
An analog silicon retina with multichip configuration. 197-210 - Giacomo Indiveri, Elisabetta Chicca, Rodney J. Douglas:
A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. 211-221 - Massoud Momeni, Albert H. Titus:
An analog VLSI chip emulating polarization vision of octopus retina. 222-232 - Wenming Zheng, Xiaoyan Zhou, Cairong Zou, Li Zhao:
Facial expression recognition using kernel canonical correlation analysis (KCCA). 233-238 - Chunling Yang, Yong Yu, Dongyang Zhao, Guoliang Zhao:
Study on modeling of multispectral emissivity and optimization algorithm. 238-242 - Sunan Huang, Kok Kiong Tan, Tong Heng Lee:
Nonlinear adaptive control of interconnected systems using neural networks. 243-246 - Ming-Jung Seow, Vijayan K. Asari:
Recurrent neural network as a linear attractor for pattern association. 246-250 - Yong He, Min Wu, Jin-Hua She:
An improved global asymptotic stability criterion for delayed cellular neural networks. 250-252 - Mao Ye:
Global convergence analysis of a discrete time nonnegative ICA algorithm. 253-256 - Anna Szymkowiak-Have, Mark A. Girolami, Jan Larsen:
Clustering via kernel decomposition. 256-264 - Pingzhou Liu, Qing-Long Han:
On stability of recurrent neural networks-an approach from volterra integro-differential equations. 264-267 - Yongjun Deng, Zhixing Yang:
Comments on "Complex-bilinear recurrent neural network for equalization of a digital Satellite Channel". 268
Volume 17, Number 2, March 2006
- Alfred Jean Philippe Lauret, Eric Fock, Thierry Alex Mara:
A node pruning algorithm based on a Fourier amplitude sensitivity test method. 273-293 - Chung-Chian Hsu:
Generalizing self-organizing map for categorical data. 294-304 - Erik Berglund, Joaquin Sitte:
The parameterless self-organizing map algorithm. 305-316 - Weishui Wan:
Implementing online natural gradient learning: problems and solutions. 317-329 - David A. Elizondo:
The linear separability problem: some testing methods. 330-344 - Marko Jankovic, Hidemitsu Ogawa:
Modulated Hebb-Oja learning Rule-a method for principal subspace analysis. 345-356 - Marcin Witczak:
Toward the training of feed-forward neural networks with the D-optimum input sequence. 357-373 - Terence A. Etchells, Paulo J. G. Lisboa:
Orthogonal search-based rule extraction (OSRE) for trained neural networks: a practical and efficient approach. 374-384 - Sylvain Chartier, Mounir Boukadoum:
A bidirectional heteroassociative memory for binary and grey-level patterns. 385-396 - Jacques M. Bahi, Sylvain Contassot-Vivier:
Basins of attraction in fully asynchronous discrete-time discrete-state dynamic networks. 397-408 - Huajin Tang, Kay Chen Tan, Eu Jin Teoh:
Dynamics analysis and analog associative memory of networks with LT neurons. 409-418 - Yuanqing Li, Andrzej Cichocki, Shun-ichi Amari:
Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach. 419-431 - Faa-Jeng Lin, Hsin-Jang Shieh, Po-Kai Huang:
Adaptive wavelet neural network control with hysteresis estimation for piezo-positioning mechanism. 432-444 - Jeongho Cho, José Carlos Príncipe, Deniz Erdogmus, Mark A. Motter:
Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map. 445-460 - Sukumar Mishra:
Neural-network-based adaptive UPFC for improving transient stability performance of power system. 461-470 - Gavin C. Cawley, Nicola L. C. Talbot, Gareth J. Janacek, Mike W. Peck:
Sparse bayesian kernel survival analysis for modeling the growth domain of microbial pathogens. 471-481 - Zhijun Yang, Alan F. Murray, Florentin Wörgötter, Katherine L. Cameron, Vasin Boonsobhak:
A neuromorphic depth-from-motion vision model with STDP adaptation. 482-495 - Susanne Still, Klaus Hepp, Rodney J. Douglas:
Neuromorphic walking gait control. 496-508 - Hongbin Du, Huihe Shao, Pingjing Yao:
Adaptive neural network control for a class of low-triangular-structured nonlinear systems. 509-514 - Xiaoqin Zeng, Yingfeng Wang, Kang Zhang:
Computation of Adalines' sensitivity to weight perturbation. 515-519 - Giovanni Costantini, Daniele Casali, Renzo Perfetti:
Associative memory design for 256 gray-level images using a multilayer neural network. 519-522 - Naimin Zhang, Wei Wu, Gaofeng Zheng:
Convergence of gradient method with momentum for two-Layer feedforward neural networks. 522-525 - Hua Deng, Han-Xiong Li:
On the new method for the control of discrete nonlinear dynamic systems using neural networks. 526-529 - Temujin Gautama, Marc M. Van Hulle:
Batch map extensions of the kernel-based maximum entropy learning rule. 529-532 - Jing Liu, Weicai Zhong, Licheng Jiao:
Comments on "The 1993 DIMACS graph coloring Challenge" and "Energy function-based approaches to graph Coloring". 533
Volume 17, Number 3, May 2006
- Jiann-Ming Wu, Zheng-Han Lin, Pei-Hsun Hsu:
Function approximation using generalized adalines. 541-558 - Peter Sussner, Marcos Eduardo Valle:
Gray-scale morphological associative memories. 559-570 - Kei Kobayashi, Fumiyasu Komaki:
Information criteria for support vector machines. 571-577 - Leonardo Franco, Martin Anthony:
The influence of oppositely classified examples on the generalization complexity of Boolean functions. 578-590 - Jussi Pakkanen, Jukka Iivarinen, Erkki Oja:
The evolving tree-analysis and applications. 591-603 - Zheng Rong Yang:
A novel radial basis function neural network for discriminant analysis. 604-612 - Luis Weruaga, Barbara Kieslinger:
Tikhonov training of the CMAC neural network. 613-622 - Zhigang Zeng, Jun Wang:
Improved conditions for global exponential stability of recurrent neural networks with time-varying delays. 623-635 - Witold Pedrycz, Marek Z. Reformat, Kuwen Li:
OR/AND neurons and the development of interpretable logic models. 636-658 - Han-Xiong Li, Hua Deng:
An approximate internal model-based neural control for unknown nonlinear discrete processes. 659-670 - Michael E. Mavroforakis, Sergios Theodoridis:
A geometric approach to Support Vector Machine (SVM) classification. 671-682 - Stefanos Zafeiriou, Anastasios Tefas, Ioan Buciu, Ioannis Pitas:
Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification. 683-695 - Ben Fei, Jinbai Liu:
Binary tree of SVM: a new fast multiclass training and classification algorithm. 696-704 - Shigang Yue, F. Claire Rind:
Collision detection in complex dynamic scenes using an LGMD-based visual neural network with feature enhancement. 705-716 - Vikramjit Mitra, Chia-Jiu Wang, Satarupa Banerjee:
Lidar detection of underwater objects using a neuro-SVM-based architecture. 717-731 - Lotfi Ben Romdhane:
A softmin-based neural model for causal reasoning. 732-744 - Cesare Alippi, Fabio Scotti:
Exploiting application locality to design low-complexity, highly performing, and power-aware embedded classifiers. 745-754 - Hsin Chen, P. C. D. Fleury, Alan F. Murray:
Continuous-valued probabilistic behavior in a VLSI generative model. 755-770 - Alejandro Linares-Barranco, Gabriel Jiménez-Moreno, Bernabé Linares-Barranco, Antón Civit Balcells:
On algorithmic rate-coded AER generation. 771-788 - Chong Wang, Wenyuan Wang:
Links between PPCA and subspace methods for complete Gaussian density estimation. 789-792 - DucDung Nguyen, Tu Bao Ho:
A bottom-up method for simplifying support vector solutions. 792-796 - Pei Gao, Wai Lok Woo, Satnam Singh Dlay:
Nonlinear signal separation for multinonlinearity constrained mixing model. 796-802 - Phill Rowcliffe, Jianfeng Feng, Hilary Buxton:
Spiking perceptrons. 803-807 - Riccardo Rizzo, Antonio Chella:
A comparison between habituation and conscience mechanism in self-organizing maps. 807-810 - Steven Van Vaerenbergh, Ignacio Santamaría:
A spectral clustering approach to underdetermined postnonlinear blind source separation of sparse sources. 811-814 - Zidong Wang, Yurong Liu, Maozhen Li, Xiaohui Liu:
Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays. 814-820 - Michael R. Buehner, Peter Michael Young:
A tighter bound for the echo state property. 820-824
Volume 17, Number 4, July 2006
- Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai:
A statistical property of multiagent learning based on Markov decision process. 829-842 - Sebastian Weng, Heiko Wersing, Jochen J. Steil, Helge J. Ritter:
Learning lateral interactions for feature binding and sensory segmentation from prototypic basis interactions. 843-862 - Guang-Bin Huang, Qin-Yu Zhu, Chee Kheong Siew:
Real-time learning capability of neural networks. 863-878 - Guang-Bin Huang, Lei Chen, Chee Kheong Siew:
Universal approximation using incremental constructive feedforward networks with random hidden nodes. 879-892 - Pai-Hsuen Chen, Rong-En Fan, Chih-Jen Lin:
A study on SMO-type decomposition methods for support vector machines. 893-908 - Ryotaro Kamimura:
Cooperative information maximization with Gaussian activation functions for self-organizing maps. 909-918 - Derong Liu, Xiaoxu Xiong, Bhaskar DasGupta, Huaguang Zhang:
Motif discoveries in unaligned molecular sequences using self-organizing neural networks. 919-928 - Razvan Andonie, Lucian Mircea Sasu:
Fuzzy ARTMAP with input relevances. 929-941 - David Wedge, David M. Ingram, David McLean, Clive G. Mingham, Zuhair Bandar:
On global-local artificial neural networks for function approximation. 942-952 - Gerardo Loreto, Ruben Garrido:
Stable neurovisual servoing for robot manipulators. 953-965 - Constantinos Constantinopoulos, Aristidis Likas:
An incremental training method for the probabilistic RBF network. 966-974 - Youshen Xia, Henry Leung:
Nonlinear spatial-temporal prediction based on optimal fusion. 975-988 - Lipo Wang, Haixiang Shi:
A gradual noisy chaotic neural network for solving the broadcast scheduling problem in packet radio networks. 989-1000 - N. K. Roy, Walter D. Potter, D. P. Landau:
Polymer property prediction and optimization using neural networks. 1001-1014 - Baranidharan Raman, P. A. Sun, Agustin Gutierrez-Galvez, Ricardo Gutierrez-Osuna:
Processing of chemical sensor arrays with a biologically inspired model of olfactory coding. 1015-1024 - Ryan J. Kier, Jeffrey C. Ames, Randall D. Beer, Reid R. Harrison:
Design and implementation of multipattern generators in analog VLSI. 1025-1038 - Lijuan Cao, S. Sathiya Keerthi, Chong Jin Ong, J. Q. Zhang, U. Periyathamby, Xiu Ju Fu, H. P. Lee:
Parallel sequential minimal optimization for the training of support vector machines. 1039-1049 - Eduardo Ros, Eva M. Ortigosa, Rodrigo Agís, Richard R. Carrillo, Mike Arnold:
Real-time computing platform for spiking neurons (RT-spike). 1050-1063 - Xia Hong:
A fast identification algorithm for box-cox transformation based radial basis function neural network. 1064-1069 - DaeEun Kim:
Neural network mechanism for the orientation behavior of sand scorpions towards prey. 1070-1076 - Yong He, Qing-Guo Wang, Min Wu, Chong Lin:
Delay-dependent state estimation for delayed neural networks. 1077-1081 - Qingshan Liu, Xiaoou Tang, Hanqing Lu, Songde Ma:
Face recognition using kernel scatter-difference-based discriminant analysis. 1081-1085 - Renzo Perfetti, Elisa Ricci:
Analog neural network for support vector machine learning. 1085-1091
Volume 17, Number 5, September 2006
- Jiang Li, Michael T. Manry, Pramod Lakshmi Narasimha, Changhua Yu:
Feature Selection Using a Piecewise Linear Network. 1101-1115 - Laxmidhar Behera, Swagat Kumar, Awhan Patnaik:
On Adaptive Learning Rate That Guarantees Convergence in Feedforward Networks. 1116-1125 - Ivor Wai-Hung Tsang, James Tin-Yau Kwok, Jacek M. Zurada:
Generalized Core Vector Machines. 1126-1140 - Zhigang Zeng, Jun Wang:
Multiperiodicity of Discrete-Time Delayed Neural Networks Evoked by Periodic External Inputs. 1141-1151 - Hongtao Lu, Shun-ichi Amari:
Global Exponential Stability of Multitime Scale Competitive Neural Networks With Nonsmooth Functions. 1152-1164 - Daniele Casali, Giovanni Costantini, Renzo Perfetti, Elisa Ricci:
Associative Memory Design Using Support Vector Machines. 1165-1174 - Chun-Fei Hsu, Chih-Min Lin, Tsu-Tian Lee:
Wavelet Adaptive Backstepping Control for a Class of Nonlinear Systems. 1175-1183 - Daniel Sbarbaro, Tor Arne Johansen:
Analysis of Artificial Neural Networks for Pattern-Based Adaptive Control. 1184-1193 - Terry Windeatt:
Accuracy/Diversity and Ensemble MLP Classifier Design. 1194-1211 - Q. Li, Biing-Hwang Juang:
Study of a Fast Discriminative Training Algorithm for Pattern Recognition. 1212-1221 - Nicolaos B. Karayiannis, Yaohua Xiong:
Training Reformulated Radial Basis Function Neural Networks Capable of Identifying Uncertainty in Data Classification. 1222-1234 - Rui Araújo:
Prune-Able Fuzzy ART Neural Architecture for Robot Map Learning and Navigation in Dynamic Environments. 1235-1249 - Gonzalo Pajares:
A Hopfield Neural Network for Image Change Detection. 1250-1264 - Zbynek Koldovský, Petr Tichavský, Erkki Oja:
Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound. 1265-1277 - Anmin Zhu, Simon X. Yang:
A Neural Network Approach to Dynamic Task Assignment of Multirobots. 1278-1287 - Boaz Vigdor, Boaz Lerner:
Accurate and Fast Off and Online Fuzzy ARTMAP-Based Image Classification With Application to Genetic Abnormality Diagnosis. 1288-1300 - Kai Keng Ang, Chai Quek:
Stock Trading Using RSPOP: A Novel Rough Set-Based Neuro-Fuzzy Approach. 1301-1315 - Patrick Le Callet, Christian Viard-Gaudin, Dominique Barba:
A Convolutional Neural Network Approach for Objective Video Quality Assessment. 1316-1327 - Davide Anguita, Stefano Pischiutta, Sandro Ridella, Dario Sterpi:
Feed-Forward Support Vector Machine Without Multipliers. 1328-1331 - Chee Siong Teh, Chee Peng Lim:
Monitoring the Formation of Kernel-Based Topographic Maps in a Hybrid SOM-kMER Model. 1336-1341 - D.-L. Lee:
Improvements of Complex-Valued Hopfield Associative Memory by Using Generalized Projection Rules. 1341-1347
Volume 17, Number 6, November 2006
- S. Gaerth Pierce, Yakov Ben-Haim, Keith Worden, Graeme Manson:
Evaluation of Neural Network Robust Reliability Using Information-Gap Theory. 1349-1361 - Norikazu Takahashi, Tetsuo Nishi:
Global Convergence of Decomposition Learning Methods for Support Vector Machines. 1362-1369 - Erkki Oja, Zhijian Yuan:
The FastICA Algorithm Revisited: Convergence Analysis. 1370-1381 - Felix Flentge:
Locally Weighted Interpolating Growing Neural Gas. 1382-1393 - J. Sim, W. L. Tung, Chai Quek:
FCMAC-Yager: A Novel Yager-Inference-Scheme-Based Fuzzy CMAC. 1394-1410 - Nan-Ying Liang, Guang-Bin Huang, Paramasivan Saratchandran, Narasimhan Sundararajan:
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks. 1411-1423 - Sheng Wan, L. E. Banta:
Parameter Incremental Learning Algorithm for Neural Networks. 1424-1438 - Jian Xun Peng, Kang Li, De-Shuang Huang:
A Hybrid Forward Algorithm for RBF Neural Network Construction. 1439-1451 - Teresa Bernarda Ludermir, Akio Yamazaki, Cleber Zanchettin:
An Optimization Methodology for Neural Network Weights and Architectures. 1452-1459 - Janusz A. Starzyk, Zhen Zhu, Yue Li:
Associative Learning in Hierarchical Self-Organizing Learning Arrays. 1460-1470 - Mauro Forti, Paolo Nistri, Marc Quincampoix:
Convergence of Neural Networks for Programming Problems via a Nonsmooth Lojasiewicz Inequality. 1471-1486 - Xiaolin Hu, Jun Wang:
Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network. 1487-1499 - Shubao Liu, Jun Wang:
A Simplified Dual Neural Network for Quadratic Programming With Its KWTA Application. 1500-1510 - Min Chee Choy, Dipti Srinivasan, Ruey Long Cheu:
Neural Networks for Continuous Online Learning and Control. 1511-1531 - Akira Hirose, Yasufumi Asano, Toshihiko Hamano:
Developmental Learning With Behavioral Mode Tuning by Carrier-Frequency Modulation in Coherent Neural Networks. 1532-1543 - Chieh-Neng Young, Chen-Wen Yen, Yi-Hua Pao, Mark L. Nagurka:
One-Class-at-a-Time Removal Sequence Planning Method for Multiclass Classification Problems. 1544-1549 - Hakan Cevikalp, Marian Neamtu, D. Mitch Wilkes:
Discriminative Common Vector Method With Kernels. 1550-1565 - Ernst M. Kussul, Tatiana Baidyk, Donald C. Wunsch II, Oleksandr Makeyev, A. Martn:
Permutation Coding Technique for Image Recognition Systems. 1566-1579 - Zhihong Man, Hong Ren Wu, Sophie X. Liu, Xinghuo Yu:
A New Adaptive Backpropagation Algorithm Based on Lyapunov Stability Theory for Neural Networks. 1580-1591 - C. Mahendra, Sadasivan Puthusserypady:
Multiuser Receiver for DS-CDMA Signals in Multipath Channels: An Enhanced Multisurface Method. 1592-1605 - Danil V. Prokhorov:
Training Recurrent Neurocontrollers for Robustness With Derivative-Free Kalman Filter. 1606-1616 - Manel Martínez-Ramón, José Luis Rojo-Álvarez, Gustavo Camps-Valls, Jordi Muñoz-Marí, Ángel Navia-Vázquez, Emilio Soria-Olivas, Aníbal R. Figueiras-Vidal:
Support Vector Machines for Nonlinear Kernel ARMA System Identification. 1617-1622 - Eu Jin Teoh, Kay Chen Tan, Cheng Xiang:
Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition. 1623-1629 - Yongqing Yang, Jinde Cao:
Solving Quadratic Programming Problems by Delayed Projection Neural Network. 1630-1634 - Mao Ye, Xuqian Fan, Xue Li:
A Class of Self-Stabilizing MCA Learning Algorithms. 1634-1638 - Jinn-Wen Wu, Kuang-Yow Lian:
Cellular Neural Field and Its Convergence Analysis. 1639-1641 - Hongmei He, O. Skora, E. Mkinen:
An Improved Neural Network Model for the Two-Page Crossing Number Problem. 1642-1646 - Jinde Cao, Kun Yuan, Han-Xiong Li:
Global Asymptotical Stability of Recurrent Neural Networks With Multiple Discrete Delays and Distributed Delays. 1646-1651 - Sheng Chen, Xunxian Wang, Xia Hong, Chris J. Harris:
Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure. 1652-1656 - Hiroki Kusumoto, Yoshiyasu Takefuji:
O(log2M) Self-Organizing Map Algorithm Without Learning of Neighborhood Vectors. 1656-1661 - Chiapin Wang, Po-Chiang Lin, Tsungnan Lin:
A Cross-Layer Adaptation Scheme for Improving IEEE 802.11e QoS by Learning. 1661-1665 - Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
A Low-Power Current Mode Fuzzy-ART Cell. 1666-1673
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