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ORCIDICNN 1996: Washington, DC, USA
- Proceedings of International Conference on Neural Networks (ICNN'96), Washington, DC, USA, June 3-6, 1996. IEEE 1996
Volume 1
- Josef Göppert, Wolfgang Rosenstiel:
Varying cooperation in SOM for improved function approximation. 1-6 - Roberto Horowitz, Luis Mejías Alvarez:
Self-organizing neural networks: convergence properties. 7-12 - Ravi Kothari, Kwabena Agyepong:
On lateral connections in feed-forward neural networks. 13-18 - Shong-Tun Li, Ernst L. Leiss:
Constructing stochastic networks via β-RBF networks. 19-24 - Lars Kai Hansen
, Jan Larsen:
Unsupervised learning and generalization. 25-30 - Daniel T. Davis, Jenq-Neng Hwang:
Estimating the multivariate conditional density using relatively sparse training data pairs. 31-37 - Josef Göppert, Wolfgang Rosenstiel:
Regularized SOM-training: a solution to the topology-approximation dilemma? 38-43 - J. Michael Rozmus:
The density-tracking self-organizing map. 44-49 - Tim Draelos, Don R. Hush:
A constructive neural network algorithm for function approximation. 50-55 - Timo Honkela, Samuel Kaski, Krista Lagus, Teuvo Kohonen:
Exploration of full-text databases with self-organizing maps. 56-61 - Aapo Hyvärinen, Erkki Oja:
A neuron that learns to separate one signal from a mixture of independent sources. 62-67 - Mario Costa, Davide Palmisano, Eros Pasero:
Supervised estimation of random variables taking on values in finite, ordered sets. 68-73 - Konstantinos I. Diamantaras:
Robust principal component extracting neural networks. 74-77 - Peter J. Edwards, Alan F. Murray:
Modelling weight- and input-noise in MLP learning. 78-83 - Andrea De Pol, Georg Thimm, Emile Fiesler:
Sparse initial topologies for high order perceptrons. 84-89 - Naonori Ueda, Ryohei Nakano:
Generalization error of ensemble estimators. 90-95 - Sayandev Mukherjee, Terrence L. Fine:
Ensemble pruning algorithms for accelerated training. 96-101 - Fang Wang, Qi-Jun Zhang:
An adaptive and fully sparse training approach for multilayer perceptrons. 102-107 - Nageswara S. V. Rao:
Nearest neighbor rules PAC-approximate feedforward networks. 108-113 - Takashi Onoda:
Experimental analysis of generalization capability based on information criteria. 114-119 - Eduardo Bayro-Corrochano, Sven Buchholz, Gerald Sommer:
Selforganizing Clifford neural network. 120-125 - Fabio Ancona, Stefano Rovetta, Rodolfo Zunino:
A parallel approach to plastic neural gas. 126-130 - Yiu-ming Cheung, Helen Z. H. Lai, Lei Xu:
Application of adaptive RPCL-CLP with trading system to foreign exchange investment. 131-136 - Lucia Sardo, Josef Kittler:
Minimum complexity estimator for RBF networks architecture selection. 137-142 - Guoping Qiu, Alexander W. Booth:
Frequency sensitive Hebbian learning. 143-148 - Nicolas Pican:
An orthogonal delta weight estimator for MLP architectures. 149-154 - Lee A. Feldkamp, Gintaras V. Puskorius, P. C. Moore:
Adaptation from fixed weight dynamic networks. 155-160 - Bruce L. Digney:
Nested Q-learning of hierarchical control structures. 161-166 - Martin A. Riedmiller:
Application of sequential reinforcement learning to control dynamic systems. 167-172 - Randall S. Barton, David M. Himmelblau:
Identification and dynamic data rectification using state correcting recurrent neural networks. 173-177 - Philippe Thomas, Gérard Bloch:
From batch to recursive outlier-robust identification of non-linear dynamic systems with neural networks. 178-183 - Riccardo Carotenuto, Luisa Franchina, Moreno Coli:
Nonlinear system process prediction using neural networks. 184-189 - Yi Sun:
On reconstruction error of Kohonen self-organizing mapping. 190-195 - Dusko Katic, Srdjan Stankovic:
Fast learning algorithms for training of feedforward multilayer perceptrons based on extended Kalman filter. 196-201 - Amir Sarajedini, Paul M. Chau:
Casasent network density estimation. 202-206 - Harri Lappalainen:
Soft multiple winners for sparse feature extraction. 207-210 - Giuseppe Acciani, Ernesto Chiarantoni, M. Minenna, Francesco Vacca:
Multivariate data projection techniques based on a network of enhanced neural elements. 211-216 - Cesare Alippi:
Extending the FPE and the effective number of parameters to neural estimators. 217-222 - L. M. Patnaik, Hema Nair, Varghese Abraham, G. Raghavendra, Shishir Kumar Singh, Rajan Srinivasan, K. Ramchand:
Performance evaluation of neural network algorithms for multisensor data fusion in an airborne track while scan radar. 223-228 - Tuan A. Duong, Allen R. Stubberud, Taher Daud, Anil Thakoor:
Cascade error projection: a new learning algorithm. 229-234 - Adam Krzyiak, Heinrich Niemann:
On MISE convergence rates of radial basis functions networks. 235-240 - Siegfried Bös, Eng Siong Chng:
Using weight decay to optimize the generalization ability of a perceptron. 241-246 - Naihong Wei, Shiyuan Yang, Shibai Tong:
A modified learning algorithm for improving the fault tolerance of BP networks. 247-252 - Igor Vajda:
About perceptron realizations of Bayesian decisions. 253-257 - Jing Xiao, Zhanbo Chen, Jie Cheng:
Structure study of feedforward neural networks for approximation of highly nonlinear real-valued functions. 258-263 - Basabi Chakraborty, Yasuji Sawada:
Fractal connection structure: effect on generalization in supervised feed-forward networks. 264-269 - Christoph S. Herrmann, Frank Reine:
Considering adequacy in neural network learning. 270-275 - Goutam Chakraborty, Shoichi Noguchi:
Improving generalization of a well trained network. 276-281 - Chuan Wang, Hsiao-Chun Wu, José C. Príncipe:
Crosscorrelation estimation using teacher forcing Hebbian learning and its application. 282-287 - Rakesh Chitradurga:
A novel weight training methodology for a multi-layer feed-forward neural net. 288-293 - Kimmo Kiviluoto:
Topology preservation in self-organizing maps. 294-299 - Robert D. Brandt, Feng Lin:
Can supervised learning be achieved without explicit error back-propagation? 300-305 - Kazushi Ikeda, Lei Xu:
The probability distribution of parameters learned with the EM algorithm. 306-310 - Youmin Zhang, X. Rong Li, Zhiwei Zhu, Hongcai Zhang:
A new clustering and training method for radial basis function networks. 311-316 - Sorin Draghici:
Some enhancements of the constraint based decomposition training architecture. 317-322 - Jacques Ludik, Ian Cloete:
Bounds for hidden units of simple recurrent networks. 323-328 - Mance E. Harmon, Leemon C. Baird III:
Residual advantage learning applied to a differential game. 329-334 - Akira Hirabayashi, Hidemitsu Ogawa:
Admissibility of memorization learning with respect to projection learning in the presence of noise. 335-340 - Michael R. Berthold:
A probabilistic extension for the DDA algorithm. 341-346 - Christoph Goller, Andreas Küchler:
Learning task-dependent distributed representations by backpropagation through structure. 347-352 - Kotaro Hirasawa, Masanao Ohbayashi, Masaru Koga, Masaaki Harada:
Forward propagation universal learning network. 353-358 - Masood A. Badri:
Neural networks of combination of forecasts for data with long memory pattern. 359-364 - James A. Reggia, Eric L. Grundstrom, Rita Sloan Berndt:
Learning activation rules for associative networks. 365-370 - Steve Lawrence, Ah Chung Tsoi, C. Lee Giles:
Local minima and generalization. 371-376 - K. M. Ho, C. J. Wang:
Experiments on estimating random mapping. 377-380 - Mirta B. Gordon:
A convergence theorem for incremental learning with real-valued inputs. 381-386 - Michael S. Gelder:
Fuzzy logic adapted nodal training parameter. 387-391 - Altaf H. Khan, Roland G. Wilson:
Integer-weight approximation of continuous-weight multilayer feedforward nets. 392-397 - Shyh-Jier Huang, Ching-Lien Huang:
Improvement of classification accuracy by using enhanced query-based learning neural networks. 398-402 - Qiangfu Zhao:
On-line evolutionary learning of NN-MLP based on the attentional learning concept. 403-408 - Sin Chun Ng, S. H. Leung, Andrew Luk:
A generalized backpropagation algorithm for faster convergence. 409-413 - Davide Anguita, Sandro Ridella, Stefano Rovetta, Rodolfo Zunino:
Limiting the effects of weight errors in feedforward networks using interval arithmetic. 414-417 - Fabrice Rossi:
Second differentials in arbitrary feedforward neural networks. 418-423 - P. P. Raghu, B. Yegnanarayana:
Texture classification using a probabilistic neural network and constraint satisfaction model. 424-429 - Silvio S. Pacheco, Antonio G. Thomé:
SHAKE-A multi-criterion optimization scheme for neural network training. 430-435 - Kazuyuki Hara, Kenji Nakayama:
Selection of minimum training data for generalization and online training by multilayer neural networks. 436-441 - M. (Sasheei) Saseetharran:
Experiments that reveal the limitations of the small initial weights and the importance of the modified neural model. 442-447 - Damon A. Miller, Jacek M. Zurada, John H. Lilly:
Pruning via Dynamic Adaptation of the Forgetting Rate in Structural Learning. 448 - Gonçalo C. Marques, Luís B. Almeida:
An Objective Function for Independence. 453 - Srdjan Milenkovic, Zoran Obradovic, Vanco B. Litovski:
Annealing based dynamic learning in second-order neural networks. 458-463 - Eero Yli-Rantala, Tommi Ojala, Petri Vuorimaa:
Vector quantization of residual images using self-organizing map. 464-467 - Meng-Hock Fun, Martin T. Hagan:
Levenberg-Marquardt training for modular networks. 468-473 - Steve Lawrence, Ah Chung Tsoi, C. Lee Giles:
Correctness, efficiency, extendability and maintainability in neural network simulation. 474-479 - Ralf Der, Gerd Balzuweit, Michael Herrmann:
Constructing principal manifolds in sparse data sets by self-organizing maps with self-regulating neighborhood width. 480-483 - Michiel C. van Wezel, Joost N. Kok, Kaisa Sere:
Determining the number of dimensions underlying customer-choices with a competitive neural network. 484-489 - Jun Ji, George V. Meghabghab:
Algorithmic enhancements to a backpropagation interior point learning rule. 490-495 - Jea-Rong Tsai, Pau-Choo Chung, Chein-I Chang:
A sigmoidal radial basis function neural network for function approximation. 496-501 - Bruno Crespi, E. Omerti:
Associative memories based on networks of delay differential equations. 502-506 - H. S. Ng, K. P. Lam:
Neural network compensation of optimization circuit for minimax path problems. 507-512 - József Bíró, Zoltán Koronkai, Tibor Trón:
A noise annealing neural network for global optimization. 513-518 - Fabio Abbattista, Giovanni Di Gioia, Giuseppe Di Santo, Anna Maria Fanelli:
An associative memory based on the immune networks. 519-523 - Dan Ventura, Tony R. Martinez:
Robust optimization using training set evolution. 524-528 - Satoshi Matsuda:
Distribution of asymptotically stable states in Hopfield network for TSP. 529-531 - Dilip Sarkar:
A three-stage architecture for bidirectional associative memory. 531/4-531/9 - Homayoun Valafar, Okan K. Ersoy, Faramarz Valafar:
Distributed global optimization (DGO). 531/10-536 - Dijin Gong, Mitsuo Gen, Genji Yamazaki, Weixuan Xu:
A modified ANN for convex programming with linear constraints. 537-542 - Alessandro Sperduti, Antonina Starita:
A memory model based on LRAAM for associative access of structures. 543-548 - Xinhua Zhuang, Hongchi Shi, Yunxin Zhao:
A general auto-associative memory model. 549-554 - Motonobu Hattori, Masafumi Hagiwara:
Intersection learning for bidirectional associative memory. 555-560 - William J. Wolfe, Richard M. Ulmer:
Orthogonal projections and the assignment problem. 561-564 - Hideki Asai, Takeshi Nakayama, Hiroshi Ninomiya:
Tiling algorithm with fitting violation function for analog neural array. 565-570 - Thomas L. Hemminger, Carlos A. Pomalaza-Raez:
Determining the minimum number of transmissions in multicast packet radio networks. 571-576 - Aleksa J. Zejak, Miroslav L. Dukic, Vladimir Smiljakovic, Zoran Golubicic:
Optimisation neural networks by mismatched filter model. 577-582 - Mohamad H. Hassoun, Paul Benedict Watta:
The Hamming associative memory and its relation to the exponential capacity DAM. 583-587 - Alan M. N. Fu, Hong Yan:
A shape classifier based on Hopfield-Amari network. 588-593 - Shanguang Chen, Jinhe Wei, Yongjun Zhang, Yong Bao:
A new model for bidirectional associative memories. 594-599 - Yannick Marchand, Jean-Luc Guérin, Jean-Paul A. Barthès:
A Hopfield's model to find implicit links in hypertexts. 600-605 - Simeon J. Simoff:
Handling uncertainty in neural networks: an interval approach. 606-610 - Lei Huang, Bai-Ling Zhang:
A novel neural-network-related approach for regression analysis with interval model. 611-616 - Fredric M. Ham, Emmanuel G. Collins Jr.:
A neurocomputing approach for solving the algebraic matrix Riccati equation. 617-622 - Youmin Zhang, X. Rong Li:
A new fast U-D factorization-based learning algorithm with applications to nonlinear system modeling and identification. 623-628 - Chen-Khong Tham:
A hierarchical CMAC architecture for context dependent function approximation. 629-634
Volume 2
- Murat Sönmez, Mingui Sun, Xiaopu Yan, Robert J. Sclabassi:
Extension of a training set for artificial neural networks and its application to brain source localization. 635-640 - Ruey S. Huang, Chung J. Kuo, Ling-Ling Tsai, Oscal T. C. Chen:
EEG pattern recognition-arousal states detection and classification. 641-646 - Stavros J. Perantonis, Dimitris A. Karras:
Tracking endocardial border motion in ultrasonic images by using neural networks and ARIMA modelling techniques. 647-652 - Markus Schwarz, Bedrich J. Hosticka, R. Hauschild, W. Mokwa, Michael Scholles, H. K. Trieu:
Hardware architecture of a neural net based retina implant for patients suffering from retinitis pigmentosa. 653-658 - Luke Theogarajan, Lex A. Akers:
Silicon models of visual cortical processing. 659-664 - Sean D. Murphy, Edward W. Kairiss:
Sensitivity of biological neuron models to fluctuations in synaptic input timing. 665-669 - Károly Lotz, Ladislau Bölöni, Tamás Roska, József Hámori:
A cellular neural network model of the time-coding pathway of sound localization-hyperacuity in time. 670-675 - Richard H. Tsai, Bing J. Sheu, Theodore W. Berger:
VLSI design for real-time signal processing based on biologically realistic neural models. 676-681 - Hui-Huang Hsu, LiMin Fu, José C. Príncipe:
Context analysis by the gamma neural network. 682-687 - Radu Dogaru, A. T. Murgan, Stefan Ortmann, Manfred Glesner:
Searching for robust chaos in discrete time neural networks using weight space exploration. 688-693 - Samuel W. K. Chan, James Franklin:
A brain-state-in-a-box network for narrative comprehension and recall. 694-699 - R. J. Craddock, K. Warwick:
Multi-layer radial basis function networks. An extension to the radial basis function. 700-705 - Mario Serna, Leemon C. Baird III:
Comparison of brain structure to a backpropagation-learned-structure. 706-711 - Pierre Germain, Yves Burnod:
Computational properties and auto-organization of a population of cortical neurons. 712-717 - Yau-Hwang Kuo, Jang-Pong Hsu:
MCFC-R: a fuzzy connectionist model for color-blindness plate recognition. 718-723 - Antonio Glaría-Bengoechea, Jorge Mpodozis-Marín, Ronald Jonas-Zuñiga, Alex Ballesteros Leiva:
RETINET: a neural network for the psychophysics of color vision. 724-727 - Warren A. Richardson, Raja L. Clouse, Soowon Kim, Manjula B. Waldron:
Synchronization using an adaptive threshold in a biologically inspired spatiotemporal neuron. 728-733 - Torsten Pomierski, Horst-Michael Gross:
Biological neural architecture for chromatic adaptation resulting in constant color sensations. 734-739 - Ryotaro Kamimura, Shohachiro Nakanishi:
Constrained information maximization. 740-744 - M. ter Brugge, R. J. Krol, J. A. G. Nijhuis, Lambert Spaanenburg:
Morphological expressions for DTCNN functions. 745-750 - Frank S. Werblin, Adam Jacobs:
Inner retina interactions mediate edge detection. A CNN analysis of neuronal function. 751-756 - Fleming Lure, Thaddeus F. Pawlicki, Roger S. Gaborski:
Improvement of detection accuracy in digital mammography with a pruned neural net optimized from heuristic decision rules. 757-761 - Yehuda Salu:
Detection of contradictions in a semantic neural network. 762-767 - Rainer Malaka, Martin Hammer:
Real-time models of classical conditioning. 768-773 - Vladimir E. Bondarenko:
Epilepsy-like phenomena in chaotic neural networks. 774-777 - Fritz Solms, Eleen Smit, Zak J. Nel:
A neural network diagnostic tool for the chronic fatigue syndrome. 778-781 - John K. Bates:
A selectionist approach to auditory perception. 782-787 - Enno Littmann, Heiko Neumann, Luiz Pessoa:
Neural model of nonlinear subfield integration in cortical simple cells. 788-793 - Youguang Xu, Chein-I Chang:
Implementation of a 3-D model for neocognitron. 794-799 - Antonio Glaría-Bengoechea, Carlos Arancibia-Bórquez:
Neural network techniques for a physiological rooted analysis of auditory brain stem average evoked responses (ABSR). 800-803 - Hideki Kobori, Kazushi Ikeda, Kenji Nakayama:
A model of dynamic associative memory. 804-809 - Christian Lehmann, Nirina Razafinimanana:
Spatio-temporal associative memories-the role of inhibitory neurons in building synfire chains. 810-815 - Yuko Osana, Motonobu Hattori, Masafumi Hagiwara:
Chaotic bidirectional associative memory. 816-821 - Chularat Tanprasert, Thitipong Tanprasert, Chidchanok Lursinsap:
Neuron and dendrite pruning by synaptic weight shifting in polynomial time. 822-827 - Shannon R. Campbell, DeLiang Wang:
Loose synchrony in relaxation oscillator networks with time delays. 828-833 - DeLiang Wang, Budi Yuwono:
A neural model of sequential memory. 834-839 - Syed Sibte Raza Abidi:
Neural networks and child language development: a simulation using a modular neural network architecture. 840-845 - Kazutaka Someya, Hidekazu Shinozaki, Eiko Miyata, Yoshifumi Sekine:
Internal states of pulse-type hardware neuron model with chaotic dynamics. 846-851 - Mohamad T. Musavi, M. Qiao, Muriel T. Davisson, E. C. Akeson:
Classification of mouse chromosomes using artificial neural networks. 852-857 - György Hernadi, Olin G. Johnson:
CLF networks with dynamic attention phase. 858-861 - Masahiro Nakagawa:
An autonomously controlled chaos neural network. 862-867 - Hormoz Djahanshahi, Majid Ahmadi, Graham A. Jullien, William C. Miller:
A modular architecture for hybrid VLSI neural networks and its application in a smart photosensor. 868-873 - Matthew D. Rowley, John G. Harris:
An edge enhancement technique for analog VLSI early vision applications. 874-879 - Ravishankar Kuppuswamy, Luke Theogarajan, Lex A. Akers:
A programmable Gaussian node. 880-885 - Jonathan W. Mills:
The continuous retina: image processing with a single-sensor artificial neural field network. 886-891 - Griff L. Bilbro, Lester C. Hall, Mark Clements, Wentai Liu:
Simulation of real time image processing: MFA in VLSI. 892-897 - Ari Paasio, Adam Dawidziuk, Veikko Porra:
Implementation of cellular neural network operating with bipolar images. 898-901 - Kevin M. Jones, John G. Harris:
The silicon vocal tract. 902-907 - Vijay K. Goru, Lex A. Akers:
VLSI implementation of rehabituation. 908-913 - Fathi M. A. Salam, Hwa-Joon Oh:
Real-time tracking control using modular neural chips with on-chip learning. 914-919 - Jan-Tore Marienborg, Tor Sverre Lande, Mats Høvin, Ånen Abusland:
Neuromorphic analog communication. 920-925 - Takeshi Kamio, Hiroshi Ninomiya, Hideki Asai:
Design and implementation of neuro-based discrete Walsh transform processor. 926-931 - Nikolaos Vassilas, Patrick Thiran, Paolo Ienne:
On modifications of Kohonen's feature map algorithm for an efficient parallel implementation. 932-937 - Andrew Kostrzewski, Dai Hyun Kim, Jeongdal Kim, Tomasz P. Jannson, Gajendra D. Savant:
Fuzzified neural network for similar/dissimilar sensor fusion. 938-942 - Harry Langenbacher, Frank Zee, Taher Daud, Anil Thakoor:
Radiation behavior of analog neural network chips. 943-950 - H. Keegstra, Walter J. Jansen, J. A. G. Nijhuis, Lambert Spaanenburg, H. Stevens, Jan Tijmen Udding:
Exploiting network redundancy for low-cost neural network realizations. 951-955 - Xiang Fang, Peter Thole, Josef Göppert, Wolfgang Rosenstiel:
A hardware supported system for a special online application of self-organizing map. 956-961 - Timo Hämäläinen, Harri Klapuri, Jukka Saarinen, Kimmo Kaski:
Mapping of multilayer perceptron networks to tree shape parallel neurocomputer. 962-967 - Luis M. Flores-Nava, Susana Ortega-Cisneros, Felipe Gomez-Castañeda, Jose A. Moreno-Cadenas:
Electronic implementation for competitive neural network: a prototype. 968-973 - Tülay Yildirim, John S. Marsland:
A conic section function network synapse and neuron implementation in VLSI hardware. 974-979 - Hiroshi Ninomtya, Kunitaka Egawa, Takeshi Kamio, Hideki Asai:
Design and implementation of neural network logic circuits with global convergence. 980-985 - Bogdan M. Wilamowski, Richard C. Jaeger, Mary Lou Padgett, Lawrence J. Myers:
CMOS implementation of a pulse-coupled neuron cell. 986-990 - Jan Wilk, Eva Wilk, Bodo Morgenstern:
Speed-up of learning in second order neural networks and its application to model synthesis of electrical devices. 991-996 - Clark S. Lindsey, Thomas Lindblad:
Experience with the reactive tabu search as implemented in the TOTEM chip. 997-1000 - Thitipong Tanprasert, Chularat Tanprasert, Chidchanok Lursinsap:
Probing technique for neural net fault detection. 1001-1005 - Minesh I. Patel, N. Ranganathan:
PANTHER: a parallel neuro-systolic architecture for real-time processing. 1006-1011 - Wei Lu, Bingxue Shi, Zhijian Li:
A modified Hamming neural network with different thresholds and multi-valued weights. 1012-1016 - Srinivas Gutta, Harry Wechsler:
Face recognition using hybrid classifier systems. 1017-1022 - Christian W. Omlin, Karvel K. Thornber, C. Lee Giles:
Representation of fuzzy finite state automata in continuous recurrent, neural networks. 1023-1027 - Anupam Joshi, Naren Ramakrishnan, John R. Rice, Elias N. Houstis:
A neuro-fuzzy approach to agglomerative clustering. 1028-1033 - Ruowei Zhou, Chai Quek:
An automatic fuzzy neural network driven signature verification system. 1034-1039 - Koji Shimojima, Naoyuki Kubota, Toshio Fukuda:
RBF fuzzy controller with virus-evolutionary genetic algorithm. 1040-1043 - Nicolaos B. Karayiannis:
Weighted fuzzy learning vector quantization and weighted fuzzy c-means algorithms. 1044-1049 - Didier Guériot, Eric P. Maillard:
A local approach for a fuzzy error function used in multilayer perceptron training through genetic algorithm. 1050-1055 - Long Zhao, Zemin Liu:
A genetic algorithm for reinforcement learning. 1056-1060 - Thomas Feuring:
Learning in fuzzy neural networks. 1061-1066 - Vincenzo Catania, Salvatore Cavalieri, Marco Russo:
Tuning Hopfield neural network by a fuzzy approach. 1067-1072 - Ron Sun, Todd Peterson:
Learning in reactive sequential decision tasks: the CLARION model. 1073-1078 - Olaf Huwendiek, Werner Brockmann:
NetFAN-a structured adaptive fuzzy approach. 1079-1084 - Gopathy Purushothaman, Nicolaos B. Karayiannis:
Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks. 1085-1090 - Gamze Erten, Ammar B. A. Gharbi, Fathi M. A. Salam, Timothy A. Grotjohn, Jes Asmussen:
Using neural networks to control the process of plasma etching and deposition. 1091-1096 - Ruck Thawonmas, Shigeo Abe:
A fuzzy classifier based on partitioned hyperboxes. 1097-1102 - José L. Alba, Laura Docío:
CMHNN: a constructive modular hybrid neural network for classification. 1103-1108 - Yong-Sheng Yuag, Francis K. Lam, Francis H. Y. Chan, Yuan-Ting Zhang, Philip A. Parker:
A new fuzzy approach for pattern recognition with application to EMG classification. 1109-1114 - George Bebis, Michael Georgiopoulos, Takis Kasparis:
Coupling weight elimination and genetic algorithms. 1115-1120 - William M. Spears:
A NN algorithm for Boolean satisfiability problems. 1121-1126 - Ali A. Ghorbani, Virendrakumar C. Bhavsar:
Limited precision incremental communication: error analysis. 1127-1132 - Hisao Ishibuchi, Manabu Nii:
Generating fuzzy if-then rules from trained neural networks: linguistic analysis of neural networks. 1133-1138 - Masumi Ishikawa:
Rule extraction by successive regularization. 1139-1143 - Guoyin Wang, Hongbao Shi:
Symbolic logic inference system based on recurrent multilayered perceptron neural networks. 1144-1149 - Yi Li, Hongbao Shi:
The N-R method of acquiring multi-step reasoning production rules based on NN. 1150-1155 - Ruowei Zhou, Chai Quek:
A pseudo outer-product based fuzzy neural network and its rule-identification algorithm. 1156-1161 - Manish Sarkar, B. Yegnanarayana:
A clustering algorithm using evolutionary programming. 1162-1167 - Baoshan Chen, Lawrence L. Hoberock:
A fuzzy neural network architecture for fuzzy control and classification. 1168-1173 - Tarcisio Coianiz, Massimo Boninsegna, Bruno Caprile:
A fuzzy classifier for visual crowding estimates. 1174-1178 - Gwo-Jong Yu, Hong-Yuan Mark Liao, Jang-Ping Sheu:
A new fuzzy linear mapping technique for facial feature extraction and recognition. 1179-1184 - Sathyanarayan S. Rao, Kumar Chellapilla:
Design of discrete coefficient FIR filters using fast simulated evolutionary optimization. 1185-1190 - Hisao Ishibuchi, Manabu Nii:
Fuzzy regression analysis by neural networks with non-symmetric fuzzy number weights. 1191-1196 - Sankar K. Pal, Jayanta Basak, Rajat K. De:
Feature selection: a neuro-fuzzy approach. 1197-1202 - A. R. Kalyan, M. Gopal:
A robust hybrid controller for robotic manipulators using neural and H∞ techniques. 1203-1208 - Shan-Ben Chen, L. Wu, Q. L. Wang:
Self-learning fuzzy neural networks for control of the arc welding process. 1209-1214 - Andrzej Bieszczad, Bernard Pagurek:
Neurosolver solves blocks world problems. 1215-1220 - Jürgen Rahmel:
SplitNet: learning of tree structured Kohonen chains. 1221-1226 - Vera Kurková, Paul C. Kainen:
A geometric method to obtain error-correcting classification by neural networks with fewer hidden units. 1227-1232 - Ping Liang:
Neural information processing using network-in-a-field. 1233-1238 - Thomas D. Gamble, John L. Perry:
Generalized potential function neural net classification. 1239-1244 - J. Wesley Hines:
A logarithmic neural network architecture for unbounded non-linear function approximation. 1245-1250 - Xiao-Hu Yu:
Efficient estimation of dynamically optimal learning rate using higher order derivatives. 1251-1256 - Ashraf M. Abdelbar, Gene A. Tagliarini:
HONEST: a new high order feedforward neural network. 1257-1262 - D. Randall Wilson, Tony R. Martinez:
Heterogeneous radial basis function networks. 1263-1267 - Kazumi Saito, Ryohei Nakano:
A constructive learning algorithm for an HME. 1268-1273 - Andries P. Engelbrecht, Ian Cloete:
A sensitivity analysis algorithm for pruning feedforward neural networks. 1274-1278 - Gasser Auda, Mohamed Kamel, Hazem M. Raafat:
Modular neural network architectures for classification. 1279-1284 - Julián Dorado de la Calle, Antonino Santos del Riego, Alejandro Pazos Sierra:
Methodology for the construction of more efficient artificial neural networks by means of studying and selecting the training set. 1285-1290 - Seiji Miyoshi, Kenji Nakayama:
Probabilistic memory capacity of recurrent neural networks. 1291-1296 - Soumitra Das, Oluseyi Farotimi:
An analysis of noisy recurrent neural networks. 1297-1301 - Jieyu Zhao, John Shawe-Taylor:
A recurrent network with stochastic weights. 1302-1307 - Francis Hunt, David Pearson:
A condition for a unique equilibrium point in a recurrent neural network. 1308-1311 - Hai-Lung Hung, Hong-Yuan Mark Liao, Chwen-Jye Sze, Shing-Jong Lin, Wei-Chung Lin, Kuo-Chin Fan:
CFART: a multi-resolutional adaptive resonance system. 1312-1317 - Inien Syu, Sheau-Dong Lang, Narsingh Deo:
A neural network model for information retrieval using latent semantic indexing. 1318-1323 - Makoto Kinouchi, Masafumi Hagiwara:
Memorization of melodies by complex-valued recurrent network. 1324-1328 - Jean Frédéric Myoupo, David Semé:
A single-layer systolic architecture for backpropagation learning. 1329-1333 - Satoshi Matsuda:
Guaranteeing crossbar switching by Hopfield network efficient and fail-safe. 1334-1339 - Tzung-Pei Hong, Jyh-Jong Lee:
Speed up the back-propagation learning algorithm by the broadcast communication model. 1340-1344 - Ville Pulkki, Taneli Harju:
An implementation of the self-organizing map on the CNAPS neurocomputer. 1345-1349 - Raffaele Parisi, Elio D. Di Claudio, A. Rapagnetta, Gianni Orlandi:
Recursive least squares approach to learning in recurrent neural networks. 1350-1354 - Valentine C. Aikens II, José G. Delgado-Frias, Steven M. Barber, Gerald G. Pechanek, Stamatis Vassiliadis:
A neuro-emulator with learning and virtual emulation capabilities. 1355-1360 - Sherif Kassem Fathy, Mostafa M. Syiam:
A parallel design and implementation for backpropagation neural network using MIMD architecture. 1361-1366 - Boris S. Gutkin, Charles E. Smith:
Stable encoding of spatial structure by a recurrent neural network in the presence of noisy data. 1367-1371 - Kate Butchart, Neil Davey, Rod Adams:
Hierarchical classification with a stochastic competitive evolutionary neural tree. 1372-1377 - Ken Tanaka, Itsuo Kumazawa:
Learning regular languages via recurrent higher-order neural networks. 1378-1383 - Andreu Català Mallofré, Xavier Parra Llanas:
Fault tolerance parameter model of radial basis function networks. 1384-1389 - Michael Herrmann, Ralf Der, Gerd Balzuweit:
Hierarchical feature maps for non-linear component analysis. 1390-1394 - Jong-Min Park, Yu Hen Hu:
Estimation of correctness region using clustering in mixture of experts. 1395-1399
Volume 3
- Mary Y. Y. Leung, Hung Yen Hui, Irwin King:
Facial expression synthesis by radial basis function network and image warping. 1400-1405 - Stéphane Le Beux, Guy Cazuguel, Basel Solaiman, Christian Roux:
Automatic feature determination using unsupervised neural networks. Application to image registration. 1406-1409 - Bertram E. Shi:
Spatio-temporal image filtering with cellular neural networks. 1410-1415 - Chi Hau Chen, Gwo Giun Lee:
Multiresolution wavelet analysis based feature extraction for neural network classification. 1416-1421 - Haroon Atique Babri, Yin Tong:
Deep feedforward networks: application to pattern recognition. 1422-1426 - Hyun Sook Rhee, Kyung-Whan Oh:
Unsupervised learning network based on gradient descent procedure of fuzzy objective function. 1427-1432 - Agus Sudjianto, Mohamad H. Hassoun, Gary S. Wasserman:
Extensions of principal component analysis for nonlinear feature extraction. 1433-1438 - Sven Behnke, Nicolaos B. Karayiannis:
CNeT: competitive neural trees for pattern classification. 1439-1444 - Chanchal Chatterjee, Vwani P. Roychowdhury:
Self-organizing neural networks for class-separability features. 1445-1450 - Piotr Wilinski, Basel Solaiman, Alain Hillion, Witold Czamecki:
Texture mixture modelling using the neural network approach. 1451-1455 - Ponnuthurai N. Suganthan, Hong Yan:
Handwritten Chinese character recognition by ARG matching using self-organising Hopfield neural network. 1456-1461 - Dominique Martinez, Woodward Yang:
Competitive learning algorithms for channel optimized vector quantizers. 1462-1467 - Poh Lian Choong, Christopher J. S. de Silva:
A comparison of maximum entropy estimation and multivariate logistic regression in the prediction of axillary lymph node metastasis in early breast cancer patients. 1468-1473 - Steven Gold, Anand Rangarajan:
Graduated assignment graph matching. 1474-1479 - Jorma Laaksonen, Erkki Oja:
Classification with learning k-nearest neighbors. 1480-1483 - Alexander Yudashkin:
A topological approach to the pattern classification in neural networks. 1484-1487 - Jan C. Bioch, Onno van der Meer, Rob Potharst:
Classification using Bayesian neural nets. 1488-1493 - David Zhang, Yu Hen Hu:
Global and local weight sharing. 1494-1499 - Oscar Moreira-Tamayo, José Pineda de Gyvez:
Preprocessing operators for image compression using cellular neural networks. 1500-1505 - Chia-Lun John Hu:
Noniterative learning in perceptrons implemented by an ultrafast-learning character-recognition scheme. 1506-1509 - Péter L. Venetianer, Tamás Roska:
Image compression by CNN. 1510-1515 - Cheng-Yuan Liou, Quan-Ming Chang:
Meshed snakes. 1516-1521 - Armando J. Pinho:
An example of tuned neural network based noise reduction filters for images. 1522-1527 - Kurt D. Bollacker, Joydeep Ghosh:
Mutual information feature extractors for neural classifiers. 1528-1533 - DeLiang Wang, David Terman:
Image segmentation by neural oscillator networks. 1534-1539 - Fred Henrik Hamker, Horst-Michael Gross:
Region selection: segmentation, classification and task relevance in a single grouping mechanism. 1540-1545 - Lei Xu:
How many clusters?: A Ying-Yang machine based theory for a classical open problem in pattern recognition. 1546-1551 - Gerald Krell, Andreas Herzog, Bernd Michaelis:
Real-time image restoration with an artificial neural network. 1552-1557 - Edwin A. Heredia, Gonzalo R. Arce:
Piecewise polynomial kernel networks. 1558-1563 - Majd F. Sakr, C. Lee Giles, Steven P. Levitan, Bill G. Horne, Marco Maggini, Donald M. Chiarulli:
Online prediction of multiprocessor memory access patterns. 1564-1569 - Holger Schwenk, Maurice Milgram:
A new distance measure for online character recognition. 1570-1575 - Oscal T.-C. Chen, Chih-Yung Chen, Hwai-Tsu Chang, Fang-Ru Hsu, Huang-Lin Yang, Youn-Gwo Lee:
A multi-lingual speech recognition system using a neural network approach. 1576-1581 - J. F. Weng, S. H. Leung, G. G. Bi:
A new neural network based sequence estimator in non-Gaussian noise environment. 1582-1587 - Kou-Yuan Huang, Yune-Wei Yuan:
Neural implementation of fuzzy K-NN classification for seismic pattern recognition. 1588-1593 - Munchurl Kim, José C. Príncipe:
Artificial neural networks with gamma kernels for automatic target detection. 1594-1599 - Kürt Meert:
A real-time recurrent learning network structure for dealing with missing sensor data. 1600-1605 - Michael Heinz, R. Benjamin Knapp:
A neural network based classifier for the identification of simple finger motion. 1606-1609 - Chanchal Chatterjee, Vwani P. Roychowdhury:
Statistical risk analysis for classification and feature extraction by multilayer perceptrons. 1610-1615 - M. Mohandes, Robert E. Bogner, Salim Bouzerdoum, Kenneth J. Pope:
A neural network approach towards multiradar track fusion. 1616-1621 - Alfred Ultsch, Gabriela Guimarães, Willi Schmid:
Classification and prediction of hail using self-organizing neural networks. 1622-1627 - Mohamed Ibnkahla, Francis Castanie:
Neural network identification of digital satellite channels: the adaptive nonlinear enhancer. 1628-1633 - Leonard Chin:
Application of neural networks aided target tracking. 1634-1639 - Motohide Yoshimura, Shunichiro Oe, Yasunori Shinohara:
Texture segmentation method considering optimum number of segmentation areas by using neural networks. 1640-1645 - Yoshinori Yaginuma, Takashi Kimoto, Hiroshi Yamakawa:
Multi-sensor fusion model for constructing internal representation using autoencoder neural networks. 1646-1651 - Chaitanya Tumuluri, Chilukuri K. Mohan, Alok N. Choudhary:
GST networks: learning emergent spatiotemporal correlations. 1652-1657 - Vanco Burzevski, Chilukuri K. Mohan:
Hierarchical growing cell structures. 1658-1663 - Paul Stefan Williams, Michael D. Alder:
Generic texture analysis applied to newspaper segmentation. 1664-1669 - Bogdan M. Wilamowski, Richard C. Jaeger:
Implementation of RBF type networks by MLP networks. 1670-1675 - Bruce L. Digney:
Nested Q-learning of hierarchical control structures. 1676-1681 - Witold Jacak, Stephan Dreiseitl:
Robotic agent control combining reactive and learning capabilities. 1682-1686 - Christof Born:
Tracking moving objects using adaptive resolution. 1687-1692 - Gabriella Convertino, Antonella Branca, Arcangelo Distante:
Focus of expansion estimation with a neural network. 1693-1697 - Zi-Qin Wang, Jeffrey L. Schiano, Mark Ginsberg:
Hash-coding in CMAC neural networks. 1698-1703 - S. Jagannathan:
Discrete-time adaptive control of feedback linearizable nonlinear systems using neural networks. 1704-1709 - Jih-Gau Juang, Chun-Shin Lin:
Gait synthesis of a biped robot using backpropagation through time algorithm. 1710-1715 - Horace Wai-kit Chan, Irwin King, John C. S. Lui:
Performance analysis of a new updating rule for TD(λ) learning in feedforward networks for position evaluation in Go game. 1716-1720 - A. Delgado, Chandrasekhar Kambhampati, Kevin Warwick:
Dynamic input/output linearization using recurrent neural networks. 1721-1726 - Yendo Hu, Ronald D. Fellman:
An efficient adaptive input quantizer for resetable dynamic robotic systems. 1727-1731 - Zhigang Zhu, Haojun Xi, Guangyou Xu:
Combining rotation-invariance images and neural networks for road scene understanding. 1732-1737 - Don J. Torrieri:
A linear transform that simplifies and improves neural-network classifiers. 1738-1743 - Pei Li, A. Lynn Abbott, Daniel L. Schmoldt:
Automated analysis of CT images for the inspection of hardwood logs. 1744-1749 - Luís Nunes, Luís B. Almeida, Thibault Langlois:
Interpolation networks. 1750-1754 - Antônio de Pádua Braga:
A continuous approximation for the intersection of two hyper-spheres in the Boolean space. 1755-1758 - Heikki Hyötyniemi:
Constructing non-orthogonal feature bases. 1759-1764 - Seul Jung, T. C. Hsia:
Neural network reference compensation technique for position control of robot manipulators. 1765-1770 - Medhat A. Moussa, Mohamed S. Kamel:
A connectionist model for learning robotic grasps using reinforcement learning. 1771-1776 - Chun-Shin Lin, Chien-Kuo Li:
A new neural network structure composed of small CMACs. 1777-1783 - John Bellando, Ravi Kothari:
On image correspondence using topology preserving mappings. 1784-1789 - Seiji Yamada, Morimichi Murota:
Applying self-organizing networks to recognizing rooms with behavior sequences of a mobile robot. 1790-1794 - W. W. L. Keerthipala, B. R. Duggal, Miao Hua Chun:
Implementation of field-oriented control of induction motors using neural network observers. 1795-1800 - Jung-Hua Wang, Chih-Ping Hsiao:
Stereo matching by neural network that uses Sobel feature data. 1801-1806 - Shiu Kit Tso, N. L. Lin:
Adaptive control of robot manipulator with radial-basis-function neural network. 1807-1811 - Dylan S. Banarse, A. W. G. Duller:
Deformation invariant pattern classification for recognising hand gestures. 1812-1817 - Salvatore Baglio, R. De Pietro, Luigi Fortuna, Salvatore Graziani:
Neural networks to estimate hydrographic basins evolution. 1818-1823 - You-Shen Xia, Da-zhen Ye:
Dynamical neural network for solving a class of nonlinear equation systems. 1824-1829 - Cesare Citterio, Andrea Pelagotti, Vincenzo Piuri, Luca Rocca:
Spectral approximation of functions by using three-layered feedforward neural networks. 1830-1834
Volume 4
- Edward M. Corwin, Antonette M. Logar, William J. B. Oldham:
An extension to the Hayashi coupled oscillator network training rule. 1835-1840 - Xiao Ming Gao, Seppo J. Ovaska, Iiro O. Hartimo:
Speech signal restoration using an optimal neural network structure. 1841-1846 - Iain Scott, Bernard Mulgrew:
Orthonormal function neural network for nonlinear system modeling. 1847-1852 - Steve Lawrence, C. Lee Giles, Sandiway Fong:
Can recurrent neural networks learn natural language grammars? 1853-1858 - James C. Spall, John A. Cristion:
Model-free control of nonlinear stochastic systems in discrete time. 1859-1864 - Yegui Xiao, Yasuhiro Kobayashi, Yoshiaki Tadokoro:
A novel memoryless nonlinear gradient algorithm for a second-order adaptive IIR notch filter. 1865-1870 - Duanpei Wu, John N. Gowdy:
K-subspaces and time-delay autoassociators for phoneme recognition. 1871-1876 - Jyh-Ming Kuo, José C. Príncipe:
Speech classification using a modified focused gamma network. 1877-1882 - Ashok Srivastava, Andreas Wieigend:
Improved time series segmentation using gated experts with simulated annealing. 1883-1888 - Jenq-Neng Hwang, Erik Little:
Real time recurrent neural networks for time series prediction and confidence estimation. 1889-1894 - Axel Glaeser:
Compact modular neural networks in a hybrid speaker-independent speech recognition system. 1895-1899 - Neil R. Euliano, José C. Príncipe:
Spatio-temporal self-organizing feature maps. 1900-1905 - Craig L. Fancoua, José C. Príncipe:
A neighborhood map of competing one step predictors for piecewise segmentation and identification of time series. 1906-1911 - Petri Salmela, Kari Laurila, Seppo Kuusisto, Petri Haavisto, Jukka Saarinen:
Isolated spoken number recognition with hybrid of self-organizing map and multilayer perceptron. 1912-1917 - Chi-Tat Leung, Tommy W. S. Chow:
Noise robustness enhancement using fourth-order cumulants cost function. 1918-1923 - Jungsik Lee, Charles D. Beach, Nazif Tepedelenlioglu:
Channel equalization using radial basis function network. 1924-1928 - Diego Andina, José L. Sanz-González:
Quasi-optimum detection results using a neural network. 1929-1932 - Katsuyoshi Ohnishi, Kenji Nakayama:
A neural demodulator for quadrature amplitude modulation signals. 1933-1938 - Kauko Väinämö, Seppo Nissilä, Timo Mäkikallio, Mikko Tulppo, Juha Röning:
Artificial neural networks for aerobic fitness approximation. 1939-1944 - Tung-Bo Chen, Von-Wun Soo:
A comparative study of recurrent neural network architectures on learning temporal sequences. 1945-1950 - Zhong Fan, Philip Mars:
Application of artificial neural networks to effective bandwidth estimation in ATM networks. 1951-1956 - David C. Chen, Bing J. Sheu, Eric Y. Chou:
A neural network communication equalizer with optimized solution capability. 1957-1962 - Christopher Cramer, Erol Gelenbe:
Massive neural video compression with temporal subsampling. 1963-1968 - Xiao Liu, Tülay Adali:
Recurrent canonical piecewise linear network and its application to adaptive equalization. 1969-1973 - Chiu Fai Wong, Terrence L. Fine:
Adaptive blind equalization using artificial neural networks. 1974-1979 - Edward M. Corwin, Antonette M. Logar, William J. B. Oldham:
Embedding coupled oscillators into a feedforward architecture for improved time series prediction. 1980-1985 - Selçuk Sen, William Robertson, William J. Phillips:
The effects of reduced precision bit lengths on feedforward neural networks for speech recognition. 1986-1991 - Robert A. Finan, Andrew T. Sapeluk, Robert I. Damper:
Comparison of multilayer and radial basis function neural networks for text-dependent speaker recognition. 1992-1997 - Shawn Hunt:
A nonlinear adaptive predictor for speech compression. 1998-2002 - C. Chandra Sekhar, B. Yegnanarayana:
Neural network models for spotting stop consonant-vowel (SCV) segments in continuous speech. 2003-2008 - C. L. Philip Chen, Steven R. LeClair:
A real-time stepwise supervised learning algorithm for time-series prediction and system identification. 2009-2014 - Ke Chen, Dahong Xie, Huisheng Chi:
Combine multiple time-delay HMEs for speaker identification. 2015-2020 - Emad W. Saad, Danil V. Prokhorov, Donald C. Wunsch II:
Advanced neural network training methods for low false alarm stock trend prediction. 2021-2026 - Marie Cottrell, Eric de Bodt, Emmanuel-Frédéric Henrion:
Understanding the leasing decision with the help of a Kohonen map. An empirical study of the Belgian market. 2027-2032 - Yiu-ming Cheung, Helen Z. H. Lai, Lei Xu:
Application of adaptive RPCL-CLP with trading system to foreign exchange investment. 2033-2038 - T. Kim, D. Stokes, Gary May:
Real-time feedback control of reactive ion etching using neural networks. 2039-2043 - J. F. G. de Freitas, A. L. Stevens, A. P. Gaylard, J. N. Ridley, C. F. Landy:
Identification of vibrating structures and fault detection using neural networks. 2044-2048 - J. G. O'Donovan, Richard C. Kavanagh, John M. D. Murphy, P. J. Roche, Michael G. Egan:
Neural network commissioning of a PI controller for a rigidly coupled motor/mechanical system. 2049-2054 - Kikuo Fujimura, Shin'ichi Tanaka, Heizo Tokutaka, Satoru Kishida:
The automatic button-color matching system using Kohonen's self-organizing feature maps in the textile field. 2055-2059 - Haroon A. Babri, A. Ahad Osman Gani:
Decision making using neural networks: an application to cross-cultural management. 2060-2065 - James Ting-Ho Lo:
Adaptive system identification by nonadaptively trained neural networks. 2066-2071 - Ssu-Hsin Yu, Anuradha M. Annaswamy:
Adaptive control of nonlinear dynamic systems using θ-adaptive neural networks. 2072-2077 - Changjing Shang, Donald S. Reay, Barry W. Williams:
Learning rate functions in CMAC neural network based control for torque ripple reduction of switched reluctance motors. 2078-2083 - Marcello R. Napolitano, Dale A. Windon:
Neural networks-based reconstruction of flight data for aircraft crash investigations. 2084-2089 - Ernesto Vázquez, Héctor J. Altuve, Oscar L. Chacón:
Neural network approach to fault detection in electric power systems. 2090-2095 - Peter W. Tse, D. D. Wang:
A hybrid neural networks based machine condition forecaster and classifier by using multiple vibration parameters. 2096-2100 - Daniel C. Chin, Richard H. Smith:
A neural network application in signal timing control. 2101-2106 - Paolo Arena, Salvatore Baglio, C. Castorina, Luigi Fortuna, Giuseppe Nunnari:
A neural architecture to predict pollution in industrial areas. 2107-2112 - Qilian Liang, Zheng Zhou, Zemin Liu:
A new approach to global minimum and its applications in blind equalization. 2113-2117 - Thierry Catfolis:
Neural networks models for the prediction of stock return volatility. 2118-2123 - Sung H. Yoon, Sathyanarayan S. Rao:
Multiuser detection in CDMA based on the annealed neural network. 2124-2129 - Aguilar Jose:
Using the general energy function of the random neural networks to solve the graph partitioning problem. 2130-2135 - Cheolwoo You, Daesik Hong:
Adaptive equalization using the complex backpropagation algorithm. 2136-2141 - Du-Hern Lee, Yoan Shin, Young-Han Kim:
A neural network based ATM call admission controller for multiple service classes with different QoS. 2142-2147 - Yi Huang, Stefan Wänstedt:
Application of neural network model for ore boundary delineation based on geophysical logging data. 2148-2153 - James C. Spall, Mark S. Asher, John L. Maryak:
A neural network approach to nondestructive evaluation of complex structures, with application to highway bridges. 2154-2159 - Jung-Hua Wang, Jia-Yann Leu:
Stock market trend prediction using ARIMA-based neural networks. 2160-2165 - Michael Kocheisen, Urs A. Müller, Gerhard Tröster:
A neural network for grey level and color correction used in photofinishing. 2166-2171 - Antonio Glaría-Bengoechea, Claudia Ordóñez-Uretaz, Manuel Marchant Saavedra, Nelson Opazo-Medina:
Stock market indices in Santiago de Chile: forecasting using neural networks. 2172-2175 - Vasant Shastri, Luis C. Rabel, Egondu Onjeyekwe:
Device-independent color correction for multimedia applications using neural networks and abductive modeling approaches. 2176-2181 - Ryotaro Kamimura, Shohachiro Nakanishi:
Kernel feature detector: extracting kernel features by minimizing α-information. 2182-2187 - Nobuo Funabiki, Seishi Nishikawa, Shigeto Tajima:
A binary neural network approach for net assignment problems. 2188-2193 - Alexandru Murgu:
Robust design of flow control in ATM network switching by using Gaussian neural networks. 2194-2201 - Xianfeng Ni, Henk B. Verbruggen, A. J. Krijgsman:
A new model with neural network structure for nonlinear identification. 2202-2207 - Masanao Ohbayashi, Kotaro Hirasawa, Junichi Murata, Masaaki Harada:
Robust learning control using universal learning network. 2208-2213 - M. H. R. Fazlur Rahman, Rajagopalan Devanathan, Zhu Kuanyi:
Dynamic neural networks for input-output linearisation. 2214-2219 - Ivica N. Kostanic, Fredric M. Ham:
Regulation of nonlinear plants using radial basis function neural networks. 2220-2225 - Marco Gori, Franco Scarselli, Ah Chung Tsoi:
Which classes of functions can a given multilayer perceptron approximate? 2226-2231 - Seong-Wook Park, Bo-Hyeok Seo:
Design of controller for nonlinear multivariable system using dynamic neural unit model. 2232-2237 - Hossam A. Abdel Fattah, Ahmed F. Sakr, Ahmed Bahgat:
Nonlinear system control via feedback linearization using neural networks. 2238-2243 - Qionghai Dai, Tao Zhang, Yu-mei Zhang, Tianyou Chai, Li-hua Xia:
Robust identification for unknown nonlinear multivariable systems based on dynamic neural networks. 2244-2249 - Aleksander Malinowski, Damon A. Miller, Jacek M. Zurada:
Reduction of neural network models for identification and control of nonlinear systems. 2250-2254 - Hong Wang:
Fast modelling and control of unknown nonlinear systems via neural networks. 2255-2260 - Sangbong Park, Cheol Hoon Park:
Adaptive system identification using multilayer neural networks and Gaussian potential function networks. 2261-2265 - Jingyan Song, Yeung Yam:
Two point training for complex plane transformation. 2266-2269 - Qinghua Zhang, Youmin Zhang:
A method for fault detection and isolation using neural networks. 2270-2275
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