default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIEEE Transactions on Neural Networks, Volume 10
Volume 10, Number 1, January 1999
- Erol Gelenbe
, Zhi-Hong Mao, Yan-Da Li:
Function approximation with spiked random networks. 3-9 - Jagesh V. Shah, Chi-Sang Poon:
Linear independence of internal representations in multilayer perceptrons. 10-18 - Boris Igelnik, Yoh-Han Pao, Steven R. LeClair, Chang-Yun Shen:
The ensemble approach to neural-network learning and generalization. 19-30 - Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Representation and generalization properties of class-entropy networks. 31-47 - Pinaki Roy Chowdhury, Yashwant Prasad Singh, R. A. Chansarkar:
Dynamic tunneling technique for efficient training of multilayer perceptrons. 48-55 - M. H. Choueiki, C. A. Mount-Campbell:
Training data development with the D-optimality criterion. 56-63 - J. P. F. Sum, Chi-Sing Leung, Peter Kwong-Shun Tam, Gilbert H. Young, Wing-Kay Kan, Lai-Wan Chan:
Analysis for a class of winner-take-all model. 64-71 - A. Le Gall, Vassilis Zissimopoulos:
Extended Hopfield models for combinatorial optimization. 72-80 - Danchi Jiang, Jun Wang:
A recurrent neural network for real-time semidefinite programming. 81-93 - Chun-Hsien Chen, Vasant G. Honavar:
A neural-network architecture for syntax analysis. 94-114 - D. A. Panagiotopoulos, Robert W. Newcomb, S. K. Singh:
Planning with a functional neural network architecture. 115-127 - Sarangapani Jagannathan:
Discrete-time CMAC NN control of feedback linearizable nonlinear systems under a persistence of excitation. 128-137 - Bin Tian, Mukhtiar A. Shaikh, Mahmood R. Azimi-Sadjadi, Thomas H. Vonder Haar, Donald L. Reinke:
A study of cloud classification with neural networks using spectral and textural features. 138-151 - Viswanath Ramamurti, Joydeep Ghosh:
Structurally adaptive modular networks for nonstationary environments. 152-160 - John Sum, Chi-Sing Leung, Gilbert H. Young, Wing-Kay Kan:
On the Kalman filtering method in neural network training and pruning. 161-166 - Shyamala C. Sivakumar, William Robertson, William J. Phillips:
Online stabilization of block-diagonal recurrent neural networks. 167-175 - Harilaos G. Sandalidis, Peter P. Stavroulakis, Joe Rodriguez-Tellez:
Borrowing channel assignment strategies based on heuristic techniques for cellular systems. 176-181 - Hideki Kakeya, Yoichi Okabe:
Selective retrieval of memory and concept sequences through neuro-windows. 182-185 - Arthur Filippidis, Lakhmi C. Jain, Peter Lozo:
Degree of familiarity ART2 in knowledge-based landmine detection. 186-193 - Ponnuthurai N. Suganthan:
Hierarchical overlapped SOM's for pattern classification. 193-196 - Sinan Altug, H. Joel Trussell, Mo-Yuen Chow:
A "mutual update" training algorithm for fuzzy adaptive logic control/decision network (FALCON). 196-199 - Roberto Tagliaferri, Nicola Capuano, Giorgio Gargiulo:
Automated labeling for unsupervised neural networks: a hierarchical approach. 199-203 - Marc M. Van Hulle:
Density-based clustering with topographic maps. 204-207 - Anisse Taleb, Giansalvo Cirrincione:
Against the convergence of the minor component analysis neurons. 207-210
Volume 10, Number 2, March 1999
- Neil W. Townsend, Lionel Tarassenko:
Estimations of error bounds for neural-network function approximators. 217-230 - Amir Sarajedini, Robert Hecht-Nielsen, Paul M. Chau:
Conditional probability density function estimation with sigmoidal neural networks. 231-238 - Kim W. C. Ku, Man-Wai Mak, Wan-Chi Siu:
Adding learning to cellular genetic algorithms for training recurrent neural networks. 239-252 - Paolo Campolucci, Aurelio Uncini, Francesco Piazza, Bhaskar D. Rao:
On-line learning algorithms for locally recurrent neural networks. 253-271 - A. Steven Younger, Peter R. Conwell, Neil E. Cotter:
Fixed-weight on-line learning. 272-283 - Peter Tiño, Miroslav Koteles:
Extracting finite-state representations from recurrent neural networks trained on chaotic symbolic sequences. 284-302 - Yakov Z. Tsypkin, J. D. Mason, E. D. Avedyan, Kevin Warwick, I. K. Levin:
Neural networks for identification of nonlinear systems under random piecewise polynomial disturbances. 303-312 - Jie Zhang, A. Julian Morris:
Recurrent neuro-fuzzy networks for nonlinear process modeling. 313-326 - M. Iatrou, Theodore W. Berger, Vasilis Z. Marmarelis:
Modeling of nonlinear nonstationary dynamic systems with a novel class of artificial neural networks. 327-339 - Mietek A. Brdys, Grzegorz J. Kulawski:
Dynamic neural controllers for induction motor. 340-355 - Narayan Srinivasa, Narendra Ahuja:
A topological and temporal correlator network for spatiotemporal pattern learning, recognition, and recall. 356-371 - Frank M. Candocia, José Carlos Príncipe:
Super-resolution of images based on local correlations. 372-380 - T. Sigitani, Youji Iiguni, Hajime Maeda:
Image interpolation for progressive transmission by using radial basis function networks. 381-390 - Martin Bouchard, B. Paillard, Chon Tan Le Dinh:
Improved training of neural networks for the nonlinear active control of sound and vibration. 391-401 - Amir F. Atiya, S. M. El-Shoura, Samir I. Shaheen, M. S. El-Sherif:
A comparison between neural-network forecasting techniques-case study: river flow forecasting. 402-409 - Mikko Lehtokangas:
Fast initialization for cascade-correlation learning. 410-414 - Davide Anguita, Sandro Ridella, Stefano Rovetta:
Worst case analysis of weight inaccuracy effects in multilayer perceptrons. 415-418 - Mehmed M. Kantardzic, A. A. Aly, Adel Said Elmaghraby:
Visualization of neural-network gaps based on error analysis. 419-426 - Mahesh S. Iyer, R. Russell Rhinehart:
A method to determine the required number of neural-network training repetitions. 427-432 - Stefan C. Kremer:
Identification of a specific limitation on local-feedback recurrent networks acting as Mealy-Moore machines. 433-438 - Stan Z. Li, Juwei Lu:
Face recognition using the nearest feature line method. 439-443 - Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital:
Hopfield network with constraint parameter adaptation for overlapped shape recognition. 444-449 - Jungsik Lee, Charles D. Beach, Nazif Tepedelenlioglu:
A practical radial basis function equalizer. 450-455 - Michael P. Walsh, Meadhbh E. Flynn, Mark J. O'Malley:
Augmented Hopfield network for mixed-integer programming. 456-458 - M. H. Hassoun:
Books in Brief. 459-459
Volume 10, Number 3, May 1999
- John L. Johnson, Mary Lou Padgett, Omid Omidvar:
Guest Editorial Overview Of Pulse Coupled Neural Network (PCNN) Special Issue. 461-463 - Reinhard Eckhorn:
Neural mechanisms of scene segmentation: recordings from the visual cortex suggest basic circuits for linking field models. 464-479 - John L. Johnson, Mary Lou Padgett:
PCNN models and applications. 480-498 - Eugene M. Izhikevich:
Class 1 neural excitability, conventional synapses, weakly connected networks, and mathematical foundations of pulse-coupled models. 499-507 - Eugene M. Izhikevich:
Weakly pulse-coupled oscillators, FM interactions, synchronization, and oscillatory associative memory. 508-526 - Gerald Frank, Georg Hartmann, Axel Jahnke, Martin Schäfer:
An accelerator for neural networks with pulse-coded model neurons. 527-538 - Yasuhiro Ota, Bogdan M. Wilamowski:
Analog implementation of pulse-coupled neural networks. 539-544 - Hiroomi Hikawa:
Frequency-based multilayer neural network with on-chip learning and enhanced neuron characteristics. 545-553 - Randy P. Broussard, Steven K. Rogers, Mark E. Oxley, Gregory L. Tarr:
Physiologically motivated image fusion for object detection using a pulse coupled neural network. 554-563 - Xiuwen Liu, DeLiang L. Wang:
Range image segmentation using a relaxation oscillator network. 564-573 - Michael J. Wilcox, Donald C. Thelen Jr.:
A retina with parallel input and pulsed output, extracting high-resolution information. 574-583 - Jason M. Kinser, Thomas Lindblad:
Implementation of pulse-coupled neural networks in a CNAPS environment. 584-590 - G. Kuntimad, Heggere S. Ranganath:
Perfect image segmentation using pulse coupled neural networks. 591-598 - Natalie Clark, Michele Banish, Heggere S. Ranganath:
Smart adaptive optic systems using spatial light modulators. 599-603 - H. John Caulfield, Jason M. Kinser:
Finding the shortest path in the shortest time using PCNN's. 604-606 - Thomas Lindblad, Jason M. Kinser:
Inherent features of wavelets and pulse coupled networks. 607-614 - Heggere S. Ranganath, G. Kuntimad:
Object detection using pulse coupled neural networks. 615-620 - Jason M. Kinser:
Foveation by a pulse-coupled neural network. 621-625 - Aapo Hyvärinen:
Fast and robust fixed-point algorithms for independent component analysis. 626-634 - Francesco Palmieri, Claudia Catello, Gennaro D'Orio:
Inhibitory synapses in neural networks with sigmoidal nonlinearities. 635-644 - Jesús Cid-Sueiro, Juan Ignacio Arribas, Sebastian Urban-Munoz, Aníbal R. Figueiras-Vidal:
Cost functions to estimate a posteriori probabilities in multiclass problems. 645-656 - Nicolaos B. Karayiannis:
Reformulated radial basis neural networks trained by gradient descent. 657-671 - S. Guarnieri, Francesco Piazza, Aurelio Uncini:
Multilayer feedforward networks with adaptive spline activation function. 672-683 - DeLiang L. Wang, Guy J. Brown:
Separation of speech from interfering sounds based on oscillatory correlation. 684-697 - S. Bharitkar, Kazuhiro Tsuchiya, Yoshiyasu Takefuji:
Microcode optimization with neural networks. 698-703 - Masaki Kawamura, Masato Okada, Yuzo Hirai:
Dynamics of selective recall in an associative memory model with one-to-many associations. 704-713 - Richard B. McLain, Michael A. Henson, Martin Pottmann:
Direct adaptive control of partially known nonlinear systems. 714-721 - Bin Tian, Mukhtiar A. Shaikh, Mahmood R. Azimi-Sadjadi, Thomas H. Vonder Haar, Donald L. Reinke:
Errata To "A Study Of Cloud Classification With Neural Networks Using Spectral And Textural Features". 722-722
Volume 10, Number 4, July 1999
- Cesare Citterio, Andrea Pelagotti, Vincenzo Piuri, Luca Rocca:
Function approximation-fast-convergence neural approach based on spectral analysis. 725-740 - Miroslaw Galicki, Lutz Leistritz, Herbert Witte:
Learning continuous trajectories in recurrent neural networks with time-dependent weights. 741-756 - Pierre Lavoie, Jean-François Crespo, Yvon Savaria:
Generalization, discrimination, and multiple categorization using adaptive resonance theory. 757-767 - Issam Dagher, Michael Georgiopoulos, Gregory L. Heileman, George Bebis:
An ordering algorithm for pattern presentation in fuzzy ARTMAP that tends to improve generalization performance. 768-778 - Richard J. Duro, José Santos Reyes:
Discrete-time backpropagation for training synaptic delay-based artificial neural networks. 779-789 - Michael G. Lysenko, Hing-Ip Wong, G. Ivan Maldonado:
Predicting neutron diffusion eigenvalues with a query-based adaptive neural architecture. 790-800 - Leonardo Maria Reyneri:
Unification of neural and wavelet networks and fuzzy systems. 801-814 - Maurício F. Figueiredo, Fernando A. C. Gomide:
Design of fuzzy systems using neurofuzzy networks. 815-827 - Chia-Feng Juang, Chin-Teng Lin:
A recurrent self-organizing neural fuzzy inference network. 828-845 - Chin-Teng Lin, Chong-Ping Jou:
Controlling chaos by GA-based reinforcement learning neural network. 846-859 - Haijian Sun, Lin Liu, Aike Guo:
A neurocomputational model of figure-ground discrimination and target tracking. 860-884 - Jens Kalkkuhl, Kenneth J. Hunt, Hans Fritz:
FEM-based neural-network approach to nonlinear modeling with application to longitudinal vehicle dynamics control. 885-897 - Miguel Angel Mayosky, Gustavo I. E. Cancelo:
Direct adaptive control of wind energy conversion systems using Gaussian networks. 898-906 - Johan A. K. Suykens, Joos Vandewalle:
Training multilayer perceptron classifiers based on a modified support vector method. 907-911 - Jie Luo, Bo Hu, Xie-Ting Ling, Ruey-Wen Liu:
Principal independent component analysis. 912-917 - Yong Fang, Tommy W. S. Chow:
Blind equalization of a noisy channel by linear neural network. 918-924 - Ling Zhang, Bo Zhang:
A geometrical representation of McCulloch-Pitts neural model and its applications. 925-929 - Youmin Zhang, X. Rong Li:
A fast U-D factorization-based learning algorithm with applications to nonlinear system modeling and identification. 930-938 - Bailing Zhang, Minyue Fu, Hong Yan, Marwan A. Jabri:
Handwritten digit recognition by adaptive-subspace self-organizing map (ASSOM). 939-945 - Jooyoung Park, Hyuk Cho, Daihee Park:
Design of GBSB neural associative memories using semidefinite programming. 946-950 - Ian Phillip Morns, Satnam Singh Dlay:
Analog design of a new neural network for optical character recognition. 951-953 - Dorel M. Sala, Krzysztof J. Cios:
Solving graph algorithms with networks of spiking neurons. 953-957 - Q. Gan, Paramasivan Saratchandran, Narasimhan Sundararajan, Krishnappa R. Subramanian:
A complex valued radial basis function network for equalization of fast time varying channels. 958-960 - Sang-Hoon Oh, Soo-Young Lee:
A new error function at hidden layers for past training of multilayer perceptrons. 960-964 - P. V. S. Ponnapalli, K. C. Ho, M. Thomson:
A formal selection and pruning algorithm for feedforward artificial neural network optimization. 964-968 - Ida G. Sprinkhuizen-Kuyper, Egbert J. W. Boers:
A local minimum for the 2-3-1 XOR network. 968-971 - Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Circular backpropagation networks embed vector quantization. 972-975 - Dong-Liang Lee:
New stability conditions for Hopfield networks in partial simultaneous update mode. 975-978 - Terence Kwok, Kate A. Smith:
A unified framework for chaotic neural-network approaches to combinatorial optimization. 978-981 - Enrique F. Castillo, Angel Cobo, José Manuel Gutiérrez, Rosa Eva Pruneda:
Functional networks with applications: a neural-based paradigm [Book Review]. 982-982 - Te-Won Lee:
Independent component analysis: theory and applications [Book Review]. 982-982
Volume 10, Number 5, September 1999
- Vladimir Vapnik:
An overview of statistical learning theory. 988-999 - Bernhard Schölkopf, Sebastian Mika, Christopher J. C. Burges, Phil Knirsch, Klaus-Robert Müller, Gunnar Rätsch, Alexander J. Smola:
Input space versus feature space in kernel-based methods. 1000-1017 - James Tin-Yau Kwok:
Moderating the outputs of support vector machine classifiers. 1018-1031 - Olvi L. Mangasarian, David R. Musicant:
Successive overrelaxation for support vector machines. 1032-1037 - Davide Mattera, Francesco Palmieri, Simon Haykin:
Simple and robust methods for support vector expansions. 1038-1047 - Harris Drucker, Donghui Wu, Vladimir Vapnik:
Support vector machines for spam categorization. 1048-1054 - Olivier Chapelle, Patrick Haffner, Vladimir Vapnik:
Support vector machines for histogram-based image classification. 1055-1064 - S. Ben-Yacoub, Yousri Abdeljaoued, Eddy Mayoraz:
Fusion of face and speech data for person identity verification. 1065-1074 - Vladimir Cherkassky, Xuhui Shao, Filip Mulier, Vladimir Vapnik:
Model complexity control for regression using VC generalization bounds. 1075-1089 - M. A. L. Thathachar, M. T. Arvind:
Global Boltzmann perceptron network for online learning of conditional distributions. 1090-1098 - Bruno Apolloni, Italo Zoppis:
Sub-symbolically managing pieces of symbolical functions for sorting. 1099-1122 - Jun Wang, Qingni Hu, Danchi Jiang:
A Lagrangian network for kinematic control of redundant robot manipulators. 1123-1132 - Qing Song, Jizhong Xiao, Yeng Chai Soh:
Robust backpropagation training algorithm for multilayered neural tracking controller. 1133-1141 - Ludmila I. Kuncheva, James C. Bezdek:
Presupervised and post-supervised prototype classifier design. 1142-1152 - Nicolaos B. Karayiannis:
An axiomatic approach to soft learning vector quantization and clustering. 1153-1165 - Yaniv Benbenisti, Doron Kornreich, H. B. Mitchell, Paul A. Schaefer:
Fixed bit-rate image compression using a parallel-structure multilayer neural network. 1166-1172 - Jayanta Basak, Shun-ichi Amari:
Blind separation of uniformly distributed signals: a general approach. 1173-1185 - Konstantinos I. Diamantaras, Kurt Hornik, Michael G. Strintzis:
Optimal linear compression under unreliable representation and robust PCA neural models. 1186-1195 - Aidong Adam Ding:
Neural-network prediction with noisy predictors. 1196-1203 - Volker Tresp, Thomas Briegel, John Moody:
Neural-network models for the blood glucose metabolism of a diabetic. 1204-1213 - Raj K. Aggarwal, Q. Y. Xuan, Allan T. Johns, Furong Li, Alan Bennett:
A novel approach to fault diagnosis in multicircuit transmission lines using fuzzy ARTmap neural networks. 1214-1221 - Tetsuya Asai, Masashiro Ohtani, Hiroo Yonezu:
Analog integrated circuits for the Lotka-Volterra competitive neural networks. 1222-1231 - Jonghan Shin, Christof Koch:
Dynamic range and sensitivity adaptation in a silicon spiking neuron. 1232-1238 - Sheng Chen, Y. Wu, Bing Lam Luk:
Combined genetic algorithm optimization and regularized orthogonal least squares learning for radial basis function networks. 1239-1243 - Bao-Liang Lu, Masami Ito:
Task decomposition and module combination based on class relations: a modular neural network for pattern classification. 1244-1256 - Baoyun Wang, Jingnan Nie, Zhenya He:
A transiently chaotic neural-network implementation of the CDMA multiuser detector. 1257-1259
Volume 10, Number 6, November 1999
- W. A. Wright:
Bayesian approach to neural-network modeling with input uncertainty. 1261-1270 - Bao-Liang Lu, Hajime Kita, Yoshikazu Nishikawa:
Inverting feedforward neural networks using linear and nonlinear programming. 1271-1290 - David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth:
Relative loss bounds for single neurons. 1291-1304 - Marco Gori, Andreas Küchler, Alessandro Sperduti:
On the implementation of frontier-to-root tree automata in recursive neural networks. 1305-1314 - Eric Bax:
Partition-based and sharp uniform error bounds. 1315-1320 - Liang Jin, Madan M. Gupta:
Stable dynamic backpropagation learning in recurrent neural networks. 1321-1334 - Nick K. Treadgold, Tamás D. Gedeon:
Exploring constructive cascade networks. 1335-1350 - Koichiro Yamauchi, Nobuhiko Yamaguchi, Naohiro Ishii:
Incremental learning methods with retrieving of interfered patterns. 1351-1365 - Jyh-Ching Juang:
Stability analysis of Hopfield-type neural networks. 1366-1374 - Khashayar Pakdaman, C. P. Malta, Clodoaldo Grotta Ragazzo:
Asymptotic behavior of irreducible excitatory networks of analog graded-response neurons. 1375-1381 - Kumar Chellapilla, David B. Fogel:
Evolving neural networks to play checkers without relying on expert knowledge. 1382-1391 - Gregor P. J. Schmitz, Chris Aldrich, F. S. Gouws:
ANN-DT: an algorithm for extraction of decision trees from artificial neural networks. 1392-1401 - Alexander S. Poznyak, Wen Yu, Edgar N. Sánchez, José P. Pérez:
Nonlinear adaptive trajectory tracking using dynamic neural networks. 1402-1411 - Yun-Chung Chu, Jie Huang:
A neural-network method for the nonlinear servomechanism problem. 1412-1423 - D. J. H. Wilson, George W. Irwin, Gordon Lightbody:
RBF principal manifolds for process monitoring. 1424-1434 - Danilo P. Mandic, Jonathon A. Chambers:
Toward an optimal PRNN-based nonlinear predictor. 1435-1442 - Junhong Nie, Simon Haykin:
A dynamic channel assignment policy through Q-learning. 1443-1455 - Peter J. Edwards, Alan F. Murray, Georgios Papadopoulos, A. Robin Wallace, John Barnard, Gordon Smith:
The application of neural networks to the papermaking industry. 1456-1464 - Ian Phillip Morns, Satnam Singh Dlay:
The DSFPN, a new neural network for optical character recognition. 1465-1473 - Abdelouahid Lyhyaoui, Manel Martínez-Ramón, Inma Mora, Maryan Vaquez, José-Luis Sancho, Aníbal R. Figueiras-Vidal:
Sample selection via clustering to construct support vector-like classifiers. 1474-1481 - Chi-Sing Leung, Gilbert H. Young, John Sum, Wing-Kay Kan:
On the regularization of forgetting recursive least square. 1482-1486 - Zhang Yi, Pheng-Ann Heng, Ada Wai-Chee Fu:
Estimate of exponential convergence rate and exponential stability for neural networks. 1487-1493 - Deepak Shukla, Darren M. Dawson, Frank W. Paul:
Multiple neural-network-based adaptive controller using orthonormal activation function neural networks. 1494-1501 - Filipe Aires, Michel Schmitt, Alain Chédin, Noëlle A. Scott:
The "weight smoothing" regularization of MLP for Jacobian stabilization. 1502-1510 - Chuan Wang, José C. Príncipe:
Training neural networks with additive noise in the desired signal. 1511-1517 - I. G. Ali, Yu-To Chen:
Design quality and robustness with neural networks. 1518-1527 - Luiz Pessoa, Ana Paula Leitão:
Complex cell prototype representation for face recognition. 1528-1531 - Christian Wöhler, Joachim K. Anlauf:
An adaptable time-delay neural-network algorithm for image sequence analysis. 1531-1536 - Siu-Yeung Cho, Tommy W. S. Chow:
Shape recovery from shading by a new neural-based reflectance model. 1536-1541 - Sang-Hoon Oh, Soo-Young Lee:
Corrections to "a new error function at hidden layers for fast training of multilayer perceptrons". 1541-1541
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-11 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
