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ORCIDIEEE Transactions on Neural Networks, Volume 15
Volume 15, Number 1, January 2004
- Jacek M. Zurada, Marios M. Polycarpou:
Editorial IEEE Transactions on Neural Networks: Editorial Report and Passing the Baton Jacek M. Zurada (left) and Marios M. Polycarpou. 1-5 - Peter Tiño
, Michal Cernanský, Lubica Benusková:
Markovian architectural bias of recurrent neural networks. 6-15 - Volker Roth:
The generalized LASSO. 16-28 - Wei Chu, S. Sathiya Keerthi, Chong Jin Ong:
Bayesian support vector regression using a unified loss function. 29-44 - Andrea Passerini, Massimiliano Pontil, Paolo Frasconi:
New results on error correcting output codes of kernel machines. 45-54 - Riccardo Boscolo, Hong Pan, Vwani P. Roychowdhury:
Independent component analysis based on nonparametric density estimation. 55-65 - Mark D. Plumbley, Erkki Oja:
A "nonnegative PCA" algorithm for independent component analysis. 66-76 - Julio Aracena, Jacques Demongeot, Eric Goles Ch.:
Positive and negative circuits in discrete neural networks. 77-83 - Terence Kwok, Kate A. Smith:
A noisy self-organizing neural network with bifurcation dynamics for combinatorial optimization. 84-98 - Houduo Qi, Liqun Qi:
Deriving sufficient conditions for global asymptotic stability of delayed neural networks via nonsmooth analysis. 99-109 - Debrup Chakraborty, Nikhil R. Pal:
A neuro-fuzzy scheme for simultaneous feature selection and fuzzy rule-based classification. 110-123 - Chun-Hsien Tsai, Hung-Yuan Chung, Fang-Ming Yu:
Neuro-sliding mode control with its applications to seesaw systems. 124-134 - Weiming Hu, Dan Xie, Tieniu Tan:
A hierarchical self-organizing approach for learning the patterns of motion trajectories. 135-144 - Michael P. Davenport, Albert H. Titus:
Multilevel category structure in the ART-2 network. 145-158 - Jianqi Wang, Mahmood R. Azimi-Sadjadi, Donald L. Reinke:
A temporally adaptive classifier for multispectral imagery. 159-165 - Bailing Zhang, Haihong Zhang, Shuzhi Sam Ge:
Face recognition by applying wavelet subband representation and kernel associative memory. 166-177 - Stefano Ferrari, Mauro Maggioni, N. Alberto Borghese:
Multiscale approximation with hierarchical radial basis functions networks. 178-188 - Donghui Li, Mahmood R. Azimi-Sadjadi, Marc Robinson:
Comparison of different classification algorithms for underwater target discrimination. 189-194 - Mehmet Kerem Müezzinoglu, Cüneyt Güzelis:
A Boolean Hebb rule for binary associative memory design. 195-202 - Tianping Chen, Libin Rong:
Robust global exponential stability of Cohen-Grossberg neural networks with time delays. 203-206 - Mark Mackenzie, A. Kiet Tieu:
Gaussian filters and filter synthesis using a Hermite/Laguerre neural network. 206-214 - Ralf Möller, Axel Könies:
Coupled principal component analysis. 214-222 - Vimal Singh:
A generalized LMI-based approach to the global asymptotic stability of delayed cellular neural networks. 223-225
Volume 15, Number 2, March 2004
- Liqing Zhang, Andrzej Cichocki, Shun-ichi Amari:
Self-adaptive blind source separation based on activation functions adaptation. 233-244 - Yongqiang Cao, Jianhong Wu:
Dynamics of projective adaptive resonance theory model: the foundation of PART algorithm. 245-260 - Jovisa D. Zunic:
On encoding and enumerating threshold functions. 261-267 - David R. Musicant, Alexander Feinberg:
Active set support vector regression. 268-275 - Mark Mackenzie, A. Kiet Tieu:
Asymmetric kernel regression. 276-282 - Hsien-Leing Tsai, Shie-Jue Lee:
Entropy-based generation of supervised neural networks for classification of structured patterns. 283-297 - Janusz A. Starzyk, Feng Wang:
Dynamic probability estimator for machine learning. 298-308 - Alicia Guerrero-Curieses, Jesús Cid-Sueiro, Rocío Alaíz-Rodríguez, Aníbal R. Figueiras-Vidal:
Local estimation of posterior class probabilities to minimize classification errors. 309-317 - Youshen Xia, Jun Wang:
A general projection neural network for solving monotone variational inequalities and related optimization problems. 318-328 - Zhang Yi, Kok Kiong Tan:
Multistability of discrete-time recurrent neural networks with unsaturating piecewise linear activation functions. 329-336 - Hiroyuki Torikai, Toshimichi Saito:
Synchronization phenomena in pulse-coupled networks driven by spike-train inputs. 337-347 - Christopher Lyn Farrow, Jack Heidel, John Maloney, Jim Rogers:
Scalar equations for synchronous Boolean networks with biological applications. 348-354 - Yangquan Chen, Kevin L. Moore, Vikas Bahl:
Learning feedforward control using a Dilated B-spline network: frequency Domain Analysis and design. 355-366 - Rong-Jong Wai, Han-Hsiang Chang:
Backstepping wavelet neural network control for indirect field-oriented induction motor drive. 367-382 - Yasar Becerikli, Yusuf Oysal, Ahmet Ferit Konar:
Trajectory priming with dynamic fuzzy networks in nonlinear optimal control. 383-394 - Sarangapani Jagannathan, Gustavo Galan:
gripper. 395-407 - Olawale Adetona, Sivapragasam Sathananthan, Lee H. Keel:
Robust adaptive control of nonaffine nonlinear plants with small input signal changes. 408-416 - Huilin Xiong, M. N. S. Swamy, M. Omair Ahmad, Irwin King:
Branching competitive learning Network: A novel self-creating model. 417-429 - Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa:
Discriminative learning quadratic discriminant function for handwriting recognition. 430-444 - John D. Matyjas, Ioannis N. Psaromiligkos, Stella N. Batalama, Michael J. Medley:
Fast converging minimum probability of error neural network receivers for DS-CDMA communications. 445-454 - Simone G. O. Fiori:
Fast fixed-point neural blind-deconvolution algorithm. 455-459 - Jung-Wook Park, Ronald G. Harley, Ganesh K. Venayagamoorthy:
Indirect adaptive control for synchronous Generator: comparison of MLP/RBF neural networks approach with Lyapunov stability analysis. 460-464 - Paul Lajbcygier:
Improving option pricing with the product constrained hybrid neural network. 465-476 - De-Shuang Huang:
A constructive approach for finding arbitrary roots of polynomials by neural networks. 477-491 - Sied Mehdi Fakhraie, Hamed Farshbaf, Kenneth Carless Smith:
Scalable closed-boundary analog neural networks. 492-504 - Hazem M. Abbas:
Performance of the Alex AVX-2 MIMD architecture in learning the NetTalk database. 505-514 - Fabian Mörchen:
Analysis of speedup as function of block size and cluster size for parallel feed-forward neural networks on a Beowulf cluster. 515-527
Volume 15, Number 3, May 2004
- Cristiano Cervellera, Marco Muselli:
Deterministic design for neural network learning: an approach based on discrepancy. 533-544 - Puyin Liu, Hongxing Li:
Efficient learning algorithms for three-layer regular feedforward fuzzy neural networks. 545-558 - Alexander Ilin, Harri Valpola, Erkki Oja:
Nonlinear dynamical factor analysis for state change detection. 559-575 - Leszek Rutkowski:
Generalized regression neural networks in time-varying environment. 576-596 - Panayiota Poirazi, Costas Neocleous, Constantinos S. Pattichis, Christos N. Schizas:
Classification capacity of a modular neural network implementing neurally inspired architecture and training rules. 597-612 - Xing-Bao Gao:
A novel neural network for nonlinear convex programming. 613-621 - Xing-Bao Gao, Li-Zhi Liao, Weimin Xue:
A neural network for a class of convex quadratic minimax problems with constraints. 622-628 - Medhat A. Moussa:
Combining expert neural networks using reinforcement feedback for learning primitive grasping behavior. 629-638 - Angelo Arleo, Fabrizio Smeraldi, Wulfram Gerstner:
Cognitive navigation based on nonuniform Gabor space sampling, unsupervised growing networks, and reinforcement learning. 639-652 - Quanmin Zhu, Lingzhong Guo:
Stable adaptive neurocontrol for nonlinear discrete-time systems. 653-662 - Lingji Chen, Kumpati S. Narendra:
Identification and control of a nonlinear discrete-time system based on its linearization: a unified framework. 663-673 - Shuzhi Sam Ge, Cong Wang:
Adaptive neural control of uncertain MIMO nonlinear systems. 674-692 - Yahui Li, Sheng Qiang, Xianyi Zhuang, Okyay Kaynak:
Robust and adaptive backstepping control for nonlinear systems using RBF neural networks. 693-701 - Arindam Banerjee, Joydeep Ghosh:
Frequency-sensitive competitive learning for scalable balanced clustering on high-dimensional hyperspheres. 702-719 - Ming-Wei Chang, Chih-Jen Lin, Ruby Chiu-Hsing Weng:
Analysis of switching dynamics with competing support vector machines. 720-727 - Ji He, Ah-Hwee Tan, Chew Lim Tan:
Modified ART 2A growing network capable of generating a fixed number of nodes. 728-737 - Shu-Kay Ng, Geoffrey J. McLachlan:
Using the EM algorithm to train neural networks: misconceptions and a new algorithm for multiclass classification. 738-749 - Martin M. S. Lee, S. Sathiya Keerthi, Chong Jin Ong, Dennis DeCoste:
An efficient method for computing leave-one-out error in support vector machines with Gaussian kernels. 750-757 - Michele Milano, Petros Koumoutsakos, Jürgen Schmidhuber:
Self-organizing nets for optimization. 758-765 - Mohammed Mestari:
An analog neural network implementation in fixed time of adjustable-order statistic filters and applications. 766-785
Volume 15, Number 4, July 2004
- José Carlos Príncipe, Erkki Oja, Lei Xu, Andrzej Cichocki, Deniz Erdogmus:
Guest Editorial Special Issue on Information Theoretic Learning. 789-791 - Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai:
A new criterion using information gain for action selection strategy in reinforcement learning. 792-799 - Antti Honkela, Harri Valpola:
Variational learning and bits-back coding: an information-theoretic view to Bayesian learning. 800-810 - Leszek Rutkowski:
Adaptive probabilistic neural networks for pattern classification in time-varying environment. 811-827 - Nicol N. Schraudolph:
Gradient-based manipulation of nonparametric entropy estimates. 828-837 - Max Welling, Richard S. Zemel, Geoffrey E. Hinton:
Probabilistic sequential independent components analysis. 838-849 - Marc M. Van Hulle:
Entropy-based kernel mixture modeling for topographic map formation. 850-858 - Sergio Antonio Cruces-Alvarez, Andrzej Cichocki, Shun-ichi Amari:
From blind signal extraction to blind instantaneous signal separation: criteria, algorithms, and stability. 859-873 - Rodney A. Morejon, José Carlos Príncipe:
Advanced search algorithms for information-theoretic learning with kernel-based estimators. 874-884 - Lei Xu:
Advances on BYY harmony learning: information theoretic perspective, generalized projection geometry, and independent factor autodetermination. 885-902 - Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
Learning mixture models with the regularized latent maximum entropy principle. 903-916 - Manuel A. Sánchez-Montañés, Fernando J. Corbacho:
A new information processing measure for adaptive complex systems. 917-927 - Sooyong Choi, Te-Won Lee:
A negentropy minimization approach to adaptive equalization for digital communication systems. 928-936 - Vikas Sindhwani, Subrata Rakshit, Dipti Deodhare, Deniz Erdogmus, José Carlos Príncipe, Partha Niyogi:
Feature selection in MLPs and SVMs based on maximum output information. 937-948
Volume 15, Number 5, September 2004
- Deliang Wang, Walter J. Freeman, Robert Kozma, Andrzej Lozowski, Ali A. Minai:
Guest Editorial Special Issue on Temporal Coding for Neural Information Processing. 953-956 - Shawn Mikula, Ernst Niebur:
Correlated inhibitory and excitatory inputs to the coincidence detector: analytical solution. 957-962 - Dominique Béroule:
An instance of coincidence detection architecture relying on temporal coding. 963-979 - Masataka Watanabe, Kazuyuki Aihara:
A network of coincidence detector neurons with periodic and chaotic dynamics. 980-986 - Michael G. Paulin, Larry F. Hoffman, Christopher Assad:
Dynamics and the single spike. 987-994 - Michael Schmitt:
On the sample complexity of learning for networks of spiking neurons with nonlinear synaptic interactions. 995-1001 - David Horn, Gideon Dror, Brigitte Quenet:
Dynamic proximity of spatio-temporal sequences. 1002-1008 - Takashi Kanamaru, Masatoshi Sekine:
An analysis of globally connected active rotators with excitatory and inhibitory connections having different time constants using the nonlinear Fokker-Planck equations. 1009-1017 - Hidehiro Nakano, Toshimichi Saito:
Grouping synchronization in a pulse-coupled network of chaotic spiking oscillators. 1018-1026 - Shannon R. Campbell, DeLiang L. Wang, Ciriyam Jayaprakash:
Synchronization rates in classes of relaxation oscillators. 1027-1038 - Reinhard Eckhorn, Alexander Gail, Andreas Bruns, Andreas Gabriel, Basim Al-Shaikhli, Mirko Saam:
Different types of signal coupling in the visual cortex related to neural mechanisms of associative Processing and perception. 1039-1052 - Dongming Xu, José Carlos Príncipe:
Dynamical analysis of neural oscillators in an olfactory cortex model. 1053-1062 - Eugene M. Izhikevich:
Which model to use for cortical spiking neurons? 1063-1070 - Yoonsuck Choe:
The role of temporal parameters in a thalamocortical model of analogy. 1071-1082 - Garrett T. Kenyon, Bryan J. Travis, James Theiler, John S. George, Greg J. Stephens, David W. Marshak:
Stimulus-specific oscillations in a retinal model. 1083-1091 - Máté Lengyel, Péter Érdi:
Theta-modulated feedforward network generates rate and phase coded firing in the entorhino-hippocampal system. 1092-1099 - Peter A. Cariani:
Temporal codes and computations for sensory representation and scene analysis. 1100-1111 - Azar Khurshid, Susan L. Denham:
A temporal-analysis-based pitch estimation system for noisy speech with a comparative study of performance of recent systems. 1112-1124 - Leslie S. Smith, Dagmar S. Fraser:
Robust sound onset detection using leaky integrate-and-fire neurons with depressing synapses. 1125-1134 - Guoning Hu, DeLiang L. Wang:
Monaural speech segregation based on pitch tracking and amplitude modulation. 1135-1150 - Stuart N. Wrigley, Guy J. Brown:
A computational model of auditory selective attention. 1151-1163 - Laurent Perrinet, Manuel Samuelides, Simon J. Thorpe:
Coding static natural images using spiking event times: do neurons Cooperate? 1164-1175 - Liang Zhao, André Carlos Ponce de Leon Ferreira de Carvalho, Zhaohui Li:
Pixel clustering by adaptive pixel moving and chaotic synchronization. 1176-1185 - Bo Yu, Liming Zhang:
Pulse-coupled neural networks for contour and motion matchings. 1186-1201 - Xiaofu Zhang, Ali A. Minai:
Temporally sequenced intelligent block-matching and motion-segmentation using locally coupled networks. 1202-1214 - Seiji Miyoshi, Masato Okada:
Storage capacity diverges with synaptic efficiency in an associative memory model with synaptic delay and pruning. 1215-1227 - Raymond S. T. Lee:
A transient-chaotic autoassociative network (TCAN) based on Lee oscillators. 1228-1243 - Guilherme De A. Barreto, Aluízio F. R. Araújo:
Identification and control of dynamical systems using the self-organizing map. 1244-1259 - Olivier F. Manette, Marc A. Maier:
Temporal Processing in primate motor control: relation between cortical and EMG activity. 1260-1267 - Andrzej Lozowski, Mykola Lysetskiy, Jacek M. Zurada:
Signal Processing with temporal sequences in olfactory systems. 1268-1275 - Lei Xu:
Temporal BYY encoding, Markovian state spaces, and space dimension determination. 1276-1295 - Adria Bofill-i-Petit, Alan F. Murray:
Synchrony detection and amplification by silicon neurons with STDP synapses. 1296-1304 - Shih-Chii Liu, Rodney J. Douglas:
Temporal coding in a silicon network of integrate-and-fire neurons. 1305-1314 - Jordi Cosp, Jordi Madrenas, Eduard Alarcón, Eva Vidal, Gerard Villar:
Synchronization of nonlinear electronic oscillators for neural computation. 1315-1327
Volume 15, Number 6, November 2004
- Bruno Apolloni, Anna Esposito, Dario Malchiodi, Christos Orovas, Giorgio Palmas, John G. Taylor:
A general framework for learning rules from data. 1333-1349 - Pravin Chandra, Yogesh Singh:
Feedforward sigmoidal networks - equicontinuity and fault-tolerance properties. 1350-1366 - Piotr Ciskowski, Ewaryst Rafajlowicz:
Context-dependent neural nets-structures and learning. 1367-1377 - Chu Kiong Loo, Mandava Rajeswari, Machavaram Venkata Chalapathy Rao:
Novel direct and self-regulating approaches to determine optimum growing multi-experts network structure. 1378-1395 - Alessio Micheli, Diego Sona, Alessandro Sperduti:
Contextual processing of structured data by recursive cascade correlation. 1396-1410 - Sin Chun Ng, Chi-Chung Cheung, Shu Hung Leung:
Magnified gradient function with deterministic weight modification in adaptive learning. 1411-1423 - Li Zhang, Weida Zhou, Licheng Jiao:
Hidden space support vector machines. 1424-1434 - Marco Gori, Alfredo Petrosino:
Encoding nondeterministic fuzzy tree automata into recursive neural networks. 1435-1449 - Ramon A. Felix, Edgar N. Sánchez, Guanrong Chen:
Reproducing chaos by variable structure recurrent neural networks. 1450-1457 - Rong Long Wang, Zheng Tang, Qi Ping Cao:
A Hopfield network learning method for bipartite subgraph problem. 1458-1465 - Witold Pedrycz:
Heterogeneous fuzzy logic networks: fundamentals and development studies. 1466-1481 - George A. Rovithakis:
Robust redesign of a neural network controller in the presence of unmodeled dynamics. 1482-1490 - Rong-Jong Wai, Chih-Min Lin, Ya-Fu Peng:
Adaptive hybrid control for linear piezoelectric ceramic motor drive using diagonal recurrent CMAC network. 1491-1506 - Chuan-Kai Lin, Sheng-De Wang:
An adaptive H∞ controller design for bank-to-turn missiles using ridge Gaussian neural networks. 1507-1516 - James Tin-Yau Kwok, Ivor Wai-Hung Tsang:
The pre-image problem in kernel methods. 1517-1525 - Sanya Mitaim, Bart Kosko:
Adaptive stochastic resonance in noisy neurons based on mutual information. 1526-1540 - Da-Zheng Feng, Xian-Da Zhang, Zheng Bao:
A neural network learning for adaptively extracting cross-correlation features between two high-dimensional data streams. 1541-1554 - Shutao Li, James Tin-Yau Kwok, Ivor Wai-Hung Tsang, Yaonan Wang:
Fusing images with different focuses using support vector machines. 1555-1561 - Kay Chen Tan, Huajin Tang:
New dynamical optimal learning for linear multilayer FNN. 1562-1570 - Huajin Tang, Kay Chen Tan, Zhang Yi:
A columnar competitive model for solving combinatorial optimization problems. 1568-1574
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