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:
Lp 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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