IEEE Transactions on Neural Networks, Volume 11

Volume 11, Number 1, January 2000

• Bingsheng He, Hai Yang:
  A neural network model for monotone linear asymmetric variational inequalities. 3-16
  
• Kenji Fukumizu:
  Statistical active learning in multilayer perceptrons. 17-26
  
• Christopher C. Holmes, Bani K. Mallick:
  Bayesian wavelet networks for nonparametric regression. 27-35
  
• Yoshihiro Yamamoto, Peter N. Nikiforuk:
  A new supervised learning algorithm for multilayered and interconnected neural networks. 36-46
  
• Zi-Qin Wang, Michael T. Manry, Jeffrey L. Schiano:
  LMS learning algorithms: misconceptions and new results on converence. 47-56
  
• Masayoshi Shimono, Takeshi Yamakawa:
  Design and analysis of a nonequilibrium cross-coupled network with a detectable similarity measure. 57-68
  
• Sridhar Seshagiri, Hassan K. Khalil:
  Output feedback control of nonlinear systems using RBF neural networks. 69-79
  
• Isabelle Rivals, Léon Personnaz:
  Nonlinear internal model control using neural networks: application to processes with delay and design issues. 80-90
  
• Alexander B. Trunov, Marios M. Polycarpou:
  Automated fault diagnosis in nonlinear multivariable systems using a learning methodology. 91-101
  
• O. Adetona, E. Garcia, L. H. Keel:
  A new method for the control of discrete nonlinear dynamic systems using neural networks. 102-112
  
• Peiman G. Maghami, Dean W. Sparks Jr.:
  Design of neural networks for fast convergence and accuracy: dynamics and control. 113-123
  
• S. Sathiya Keerthi, Shirish Krishnaj Shevade, Chiranjib Bhattacharyya, K. R. K. Murthy:
  A fast iterative nearest point algorithm for support vector machine classifier design. 124-136
  
• Anastasios D. Doulamis, Nikolaos D. Doulamis, Stefanos D. Kollias:
  On-line retrainable neural networks: improving the performance of neural networks in image analysis problems. 137-155
  
• Stuart W. Perry, Ling Guan:
  Weight assignment for adaptive image restoration by neural networks. 156-170
  
• Sheng-Fu Liang, Alvin Wen-Yu Su, Chin-Teng Lin:
  Model-based synthesis of plucked string instruments by using a class of scattering recurrent networks. 171-185
  
• Mohamed A. Khabou, Paul D. Gader:
  Automatic target detection using entropy optimized shared-weight neural networks. 186-193
  
• Ju-Ferr Yang, Chi-Ming Chen:
  Winner-take-all neural networks using the highest threshold. 194-199
  
• Qingfu Zhang, Yiu-Wing Leung:
  A class of learning algorithms for principal component analysis and minor component analysis. 200-204
  
• Stuart Townley, Achim Ilchmann, Martin G. Weiß, Warren McClements, Antonio C. Ruiz, David H. Owens, Dieter Prätzel-Wolters:
  Existence and learning of oscillations in recurrent neural networks. 205-214
  
• Shan Ouyang, Zheng Bao, Guisheng Liao:
  Robust recursive least squares learning algorithm for principal component analysis. 215-221
  
• Johan A. K. Suykens, Bart De Moor, Joos Vandewalle:
  Robust local stability of multilayer recurrent neural networks. 222-229
  
• Yen-Hung Chen, Shu-Cherng Fang:
  Neurocomputing with time delay analysis for solving convex quadratic programming problems. 230-240
  
• Rahul Singh, Vladimir Cherkassky, Nikolaos Papanikolopoulos:
  Self-organizing maps for the skeletonization of sparse shapes. 241-248
  
• Riccardo Bellazzi, Raffaella Guglielmann, Liliana Ironi:
  How to improve fuzzy-neural system modeling by means of qualitative simulation. 249-253
  
• Goutam Chakraborty, Basabi Chakraborty:
  A novel normalization technique for unsupervised learning in ANN. 253-257
  

Volume 11, Number 2, March 2000

• Jean-Pierre Vila, Vérène Wagner, Pascal Neveu:
  Bayesian nonlinear model selection and neural networks: a conjugate prior approach. 265-278
  
• Clifford Clausen, Harry Wechsler:
  Quad-Q-learning. 279-294
  
• Nikolai S. Rubanov:
  The layer-wise method and the backpropagation hybrid approach to learning a feedforward neural network. 295-305
  
• J. Barry Gomm, D. L. Yu:
  Selecting radial basis function network centers with recursive orthogonal least squares training. 306-314
  
• Danilo P. Mandic, Jonathon A. Chambers:
  On the choice of parameters of the cost function in nested modular RNN's. 315-322
  
• Ron Meir, V. E. Maiorov:
  On the optimality of neural-network approximation using incremental algorithms. 323-337
  
• Chanchal Chatterjee, Zhengjiu Kang, Vwani P. Roychowdhury:
  Algorithms for accelerated convergence of adaptive PCA. 338-355
  
• Hong-Xing Li, C. L. Philip Chen:
  The equivalence between fuzzy logic systems and feedforward neural networks. 356-365
  
• Sankar K. Pal, Rajat K. De, Jayanta Basak:
  Unsupervised feature evaluation: a neuro-fuzzy approach. 366-376
  
• Hiroshi Tsukimoto:
  Extracting rules from trained neural networks. 377-389
  
• Jin Young Choi, Jay A. Farrell:
  Nonlinear adaptive control using networks of piecewise linear approximators. 390-401
  
• Jürgen Van Gorp, Johan Schoukens, Rik Pintelon:
  Learning neural networks with noisy inputs using the errors-in-variables approach. 402-414
  
• Li-Min Fu:
  Discrete probability estimation for classification using certainty-factor-based neural networks. 415-422
  
• Paul H. Eaton, Danil V. Prokhorov, Donald C. Wunsch II:
  Neurocontroller alternatives for "fuzzy" ball-and-beam systems with nonuniform nonlinear friction. 423-435
  
• Rajesh Parekh, Jihoon Yang, Vasant Honavar:
  Constructive neural-network learning algorithms for pattern classification. 436-451
  
• Rohit Lotlikar, Ravi Kothari:
  Bayes-optimality motivated linear and multilayered perceptron-based dimensionality reduction. 452-463
  
• Alireza Khotanzad, Hassan M. Elragal, Tsun-Liang Lu:
  Combination of artificial neural-network forecasters for prediction of natural gas consumption. 464-473
  
• Shengxiang Yang, Dingwei Wang:
  Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling. 474-486
  
• Octavian Stan, Edward W. Kamen:
  A local linearized least squares algorithm for training feedforward neural networks. 487-495
  
• Mayer Aladjem:
  Recursive training of neural networks for classification. 496-503
  
• Marina Skurichina, Sarunas Raudys, Robert P. W. Duin:
  k-nearest neighbors directed noise injection in multilayer perceptron training. 504-511
  
• Rudy Setiono:
  Extracting M-of-N rules from trained neural networks. 512-519
  
• Dong-Chul Park:
  Centroid neural network for unsupervised competitive learning. 520-528
  
• Qingfu Zhang, Yiu-Wing Leung:
  A class of learning algorithms for principal component analysis and minor component analysis. 529-533
  
• Zhi-Hong Guan, Guanrong Chen, Yi Qin:
  On equilibria, stability, and instability of Hopfield neural networks. 534-540
  

Volume 11, Number 3, May 2000

• Samy Bengio, Yoshua Bengio:
  Taking on the curse of dimensionality in joint distributions using neural networks. 550-557
  
• Lian Yan, David J. Miller:
  General statistical inference for discrete and mixed spaces by an approximate application of the maximum entropy principle. 558-573
  
• Teuvo Kohonen, Samuel Kaski, Krista Lagus, Jarkko Salojärvi, Jukka Honkela, Vesa Paatero, Antti Saarela:
  Self organization of a massive document collection. 574-585
  
• Juha Vesanto, Esa Alhoniemi:
  Clustering of the self-organizing map. 586-600
  
• Damminda Alahakoon, Saman K. Halgamuge, Bala Srinivasan:
  Dynamic self-organizing maps with controlled growth for knowledge discovery. 601-614
  
• Andreas König:
  Interactive visualization and analysis of hierarchical neural projections for data mining. 615-624
  
• Yue Joseph Wang, Lan Luo, Matthew T. Freedman, Sun-Yuan Kung:
  Probabilistic principal component subspaces: a hierarchical finite mixture model for data visualization. 625-636
  
• Chung-Kwan Shin, Ui Tak Yun, Huy Kang Kim, Sang-Chan Park:
  A hybrid approach of neural network and memory-based learning to data mining. 637-646
  
• Li-Min Fu, Edward H. Shortliffe:
  The application of certainty factors to neural computing for rule discovery. 647-657
  
• Yan-Qing Zhang, Martin D. Fraser, Ross A. Gagliano, Abraham Kandel:
  Granular neural networks for numerical-linguistic data fusion and knowledge discovery. 658-667
  
• Robert H. Kewley, Mark J. Embrechts, Curt M. Breneman:
  Data strip mining for the virtual design of pharmaceuticals with neural networks. 668-679
  
• Raymond S. T. Lee, James N. K. Liu:
  Tropical cyclone identification and tracking system using integrated neural oscillatory elastic graph matching and hybrid RBF network track mining techniques. 680-689
  
• Michael C. Mozer, Richard H. Wolniewicz, David B. Grimes, Eric Johnson, Howard Kaushansky:
  Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry. 690-696
  
• Amir F. Atiya, Alexander G. Parlos:
  New results on recurrent network training: unifying the algorithms and accelerating convergence. 697-709
  
• Juan Luis Castro Peña, Miguel Delgado Calvo-Flores, Carlos Javier Mantas:
  SEPARATE: a machine learning method based on semi-global partitions. 710-720
  
• Mu-Chun Su, Hsiao-Te Chang:
  Fast self-organizing feature map algorithm. 721-733
  
• Frank C. Hoppensteadt, Eugene M. Izhikevich:
  Pattern recognition via synchronization in phase-locked loop neural networks. 734-738
  
• Chang Nian Zhang, Ming Zhao, Meng Wang:
  Logic operations based on single neuron rational model. 739-747
  
• Sushmita Mitra, Yoichi Hayashi:
  Neuro-fuzzy rule generation: survey in soft computing framework. 748-768
  
• Bogdan Gabrys, Andrzej Bargiela:
  General fuzzy min-max neural network for clustering and classification. 769-783
  
• Mahmood R. Azimi-Sadjadi, De Yao, Qiang Huang, Gerald J. Dobeck:
  Underwater target classification using wavelet packets and neural networks. 784-794
  
• Mikko Lehtokangas:
  Modified cascade-correlation learning for classification. 795-798
  
• Guang-Bin Huang, Yan Qiu Chen, Haroon A. Babri:
  Classification ability of single hidden layer feedforward neural networks. 799-801
  
• Frédéric Maire:
  On the convergence of validity interval analysis. 802-807
  
• Tai-Ning Yang, Sheng-De Wang:
  Fuzzy auto-associative neural networks for principal component extraction of noisy data. 808-810
  
• Carlos Cabrelli, Ursula Molter, Ron Shonkwiler:
  A constructive algorithm to solve "convex recursive deletion" (CoRD) classification problems via two-layer perceptron networks. 811-816
  
• Toru Aonishi, Koji Kurata:
  Extension of dynamic link matching by introducing local linear maps. 817-822
  

Volume 11, Number 4, July 2000

• Bruce D. Calvert, Corneliu A. Marinov:
  Another K-winners-take-all analog neural network. 829-838
  
• Piyush C. Ojha:
  Enumeration of linear threshold functions from the lattice of hyperplane intersections. 839-850
  
• Zekeriya Uykan, Cüneyt Güzelis, Mehmet Ertugrul Çelebi, Heikki N. Koivo:
  Analysis of input-output clustering for determining centers of RBFN. 851-858
  
• Yingquan Wu, Dimitrios A. Pados:
  A feedforward bidirectional associative memory. 859-866
  
• V. Gimenez-Martinez:
  A modified Hopfield auto-associative memory with improved capacity. 867-878
  
• Sunil Bharitkar, Jerry M. Mendel:
  The hysteretic Hopfield neural network. 879-888
  
• Xia Hong, Christopher J. Harris:
  Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition. 889-902
  
• Bin Tian, Mahmood R. Azimi-Sadjadi, Thomas H. Vonder Haar, Donald L. Reinke:
  Temporal updating scheme for probabilistic neural network with application to satellite cloud classification. 903-920
  
• Theo Sabisch, Alistair Ferguson, Hamid Bolouri:
  Identification of complex shapes using a self organizing neural system. 921-934
  
• Erdogan Çesmeli, DeLiang L. Wang:
  Motion segmentation based on motion/brightness integration and oscillatory correlation. 935-947
  
• Srinivas Gutta, Jeffrey Huang, P. Jonathon Phillips, Harry Wechsler:
  Mixture of experts for classification of gender, ethnic origin, and pose of human faces. 948-960
  
• Man-Wai Mak, Sun-Yuan Kung:
  Estimation of elliptical basis function parameters by the EM algorithm with application to speaker verification. 961-969
  
• Jari Häkkinen, Martin Lagerholm, Carsten Peterson, Bo Söderberg:
  Local routing algorithms based on Potts neural networks. 970-977
  
• Simon R. Jones, Ray Meddis, Seow Chuan Lim, Arthur Robert Temple:
  Toward a digital neuromorphic pitch extraction system. 978-987
  
• Evert C. Mos, J. J. L. Hoppenbrouwers, Martin T. Hill, M. W. Blum, Johannes Joseph H. B. Schleipen, Huug de Waardt:
  Optical neuron by use of a laser diode with injection seeding and external optical feedback. 988-996
  
• Güner Arslan, F. Ayhan Sakarya:
  A unified neural-network-based speaker localization technique. 997-1002
  
• Chih-Chung Chang, Chih-Wei Hsu, Chih-Jen Lin:
  The analysis of decomposition methods for support vector machines. 1003-1008
  
• Ke Zhi Mao, Kah-Chye Tan, Wee Ser:
  Probabilistic neural-network structure determination for pattern classification. 1009-1016
  
• Youshen Xia, Jun Wang:
  Global exponential stability of recurrent neural networks for solving optimization and related problems. 1017-1022
  
• Satish Kumar:
  Memory annihilation of structured maps in bidirectional associative memories. 1023-1030
  
• Zhuo Meng, Yoh-Han Pao:
  Visualization and self-organization of multidimensional data through equalized orthogonal mapping. 1031-1038
  

Volume 11, Number 5, September 2000

• Isaac E. Lagaris, Aristidis Likas, Dimitris G. Papageorgiou:
  Neural-network methods for boundary value problems with irregular boundaries. 1041-1049
  
• George N. Karystinos, Dimitrios A. Pados:
  On overfitting, generalization, and randomly expanded training sets. 1050-1057
  
• Yingquan Wu, Stella N. Batalama:
  An efficient learning algorithm for associative memories. 1058-1066
  
• Chen-Chia Chuang, Shun-Feng Su, Chih-Ching Hsiao:
  The annealing robust backpropagation (ARBP) learning algorithm. 1067-1077
  
• Chun-Liang Lin, Chih-Chin Lai, Teng-Hsien Huang:
  A neural network for linear matrix inequality problems. 1078-1092
  
• Nicolaos B. Karayiannis:
  Soft learning vector quantization and clustering algorithms based on ordered weighted aggregation operators. 1093-1105
  
• Ke Chen, DeLiang L. Wang, Xiuwen Liu:
  Weight adaptation and oscillatory correlation for image segmentation. 1106-1123
  
• Jayanta Basak, Debashis Mahata:
  A connectionist model for corner detection in binary and gray images. 1124-1132
  
• Henry Leung, Geoffrey Hennessey, Anastasios Drosopoulos:
  Signal detection using the radial basis function coupled map lattice. 1133-1151
  
• Hanseok Ko, Garry M. Jacyna:
  Dynamical behavior of autoassociative memory performing novelty filtering for signal enhancement. 1152-1161
  
• James Tin-Yau Kwok:
  The evidence framework applied to support vector machines. 1162-1173
  
• David Zhang, Sankar K. Pal:
  A fuzzy clustering neural networks (FCNs) system design methodology. 1174-1177
  
• C. M. Kwan, Frank L. Lewis:
  Robust backstepping control of induction motors using neural networks. 1178-1187
  
• Shirish Krishnaj Shevade, S. Sathiya Keerthi, Chiranjib Bhattacharyya, K. R. K. Murthy:
  Improvements to the SMO algorithm for SVM regression. 1188-1193
  
• Xue-Bin Liang:
  Equivalence between local exponential stability of the unique equilibrium point and global stability for Hopfield-type neural networks with two neurons. 1194-1196
  

Volume 11, Number 6, November 2000

• Yves Grandvalet:
  Anisotropic noise injection for input variables relevance determination. 1201-1212
  
• Krzysztof Ciesielski, Jaroslaw P. Sacha, Krzysztof J. Cios:
  Synthesis of feedforward networks in supremum error bound. 1213-1227
  
• Immanuel M. Bomze, Marcello Pelillo, Volker Stix:
  Approximating the maximum weight clique using replicator dynamics. 1228-1241
  
• Andreas Weingessel, Kurt Hornik:
  Local PCA algorithms. 1242-1250
  
• Xue-Bin Liang, Jun Wang:
  A recurrent neural network for nonlinear optimization with a continuously differentiable objective function and bound constraints. 1251-1262
  
• Marco Saerens:
  Building cost functions minimizing to some summary statistics. 1263-1271
  
• Danchi Jiang, Jun Wang:
  On-line learning of dynamical systems in the presence of model mismatch and disturbances. 1272-1283
  
• Luigi Grippo:
  Convergent on-line algorithms for supervised learning in neural networks. 1284-1299
  
• Shaoyun Chen, Juyang Weng:
  State-based SHOSLIF for indoor visual navigation. 1300-1314
  
• Maurice W. Benson, Jie Hu:
  Asynchronous self-organizing maps. 1315-1322
  
• Hideki Kakeya, Yoichi Okabe:
  Fast combinatorial optimization with parallel digital computers. 1323-1331
  
• Mohammad Fazle Azeem, Madasu Hanmandlu, Nesar Ahmad:
  Generalization of adaptive neuro-fuzzy inference systems. 1332-1346
  
• Youping Zhang, Pei-Yaun Peng, Zhong-Ping Jiang:
  Stable neural controller design for unknown nonlinear systems using backstepping. 1347-1360
  
• Krishna Kummamuru, M. A. L. Thathachar, Kalpathi R. Ramakrishnan:
  Voronoi networks and their probability of misclassification. 1361-1372
  
• Hsin-Chia Fu, Hung-Yuan Chang, Yeong-Yuh Xu, Hsiao-Tien Pao:
  User adaptive handwriting recognition by self-growing probabilistic decision-based neural networks. 1373-1384
  
• István Szatmári, Abraham Schultz, Csaba Rekeczky, Tibor Kozek, Tamás Roska, Leon O. Chua:
  Morphology and autowave metric on CNN applied to bubble-debris classification. 1385-1393
  
• Masaaki Tsujitani, Takashi Koshimizu:
  Neural discriminant analysis. 1394-1401
  
• Marcelo C. Medeiros, Alvaro Veiga:
  A hybrid linear-neural model for time series forecasting. 1402-1412
  
• Yuanqing Li, Jun Wang, Jacek M. Zurada:
  Blind extraction of singularly mixed source signals. 1413-1422
  
• Sergio Antonio Cruces-Alvarez, Andrzej Cichocki, Luis Castedo:
  An iterative inversion approach to blind source separation. 1423-1437
  
• Stamatis Vassiliadis, Ming Zhang, José G. Delgado-Frias:
  Elementary function generators for neural-network emulators. 1438-1449
  
• Alvaro A. Cruz-Cabrara, Mingtao Yang, Guoqi Cui, Elizabeth C. Behrman, James Edward Steck, Steven R. Skinner:
  Reinforcement and backpropagation training for an optical neural network using self-lensing effects. 1450-1457
  
• Mark N. Gibbs, David J. C. MacKay:
  Variational Gaussian process classifiers. 1458-1464
  
• Minho Lee, Hyeung-Sik Choi:
  A robust neural controller for underwater robot manipulators. 1465-1470
  
• Feipeng Da:
  Decentralized sliding mode adaptive controller design based on fuzzy neural networks for interconnected uncertain nonlinear systems. 1471-1480
  
• Teh-Lu Liao, Fong-Chin Wang:
  Global stability for cellular neural networks with time delay. 1481-1484
  
• Yue-Hu Luo, Shi-Yi Shen:
  L^p approximation of Sigma-Pi neural networks. 1485-1489
  
• Scott C. Douglas:
  Self-stabilized gradient algorithms for blind source separation with orthogonality constraints. 1490-1497
  
• Siu-Yeung Cho, Tommy W. S. Chow:
  Learning parametric specular reflectance model by radial basis function network. 1498-1503
  
• Lipo Wang:
  Heteroassociations of spatio-temporal sequences with the bidirectional associative memory. 1503-1505
  
• Xue-Bin Liang:
  A comment on "On equilibria, stability, and instability of Hopfield neural networks" [and reply]. 1506-1507
  

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