Abstract is missing.
- A three-stage architecture for bidirectional associative memoryDilip Sarkar. [doi]
- Distributed global optimization (DGO)Homayoun Valafar, Okan K. Ersoy, Faramarz Valafar. [doi]
- Varying cooperation in SOM for improved function approximationJosef Göppert, Wolfgang Rosenstiel. 1-6 [doi]
- Self-organizing neural networks: convergence propertiesRoberto Horowitz, Luis Mejías Alvarez. 7-12 [doi]
- On lateral connections in feed-forward neural networksRavi Kothari, Kwabena Agyepong. 13-18 [doi]
- Constructing stochastic networks via /spl beta/-RBF networksShong-Tun Li, Ernst L. Leiss. 19-24 [doi]
- Unsupervised learning and generalizationLars Kai Hansen, Jan Larsen. 25-30 [doi]
- Estimating the multivariate conditional density using relatively sparse training data pairsDaniel T. Davis, Jeng Neng Hwang. 31-37 [doi]
- Regularized SOM-training: a solution to the topology-approximation dilemma?Josef Göppert, Wolfgang Rosenstiel. 38-43 [doi]
- The density-tracking self-organizing mapJ. Michael Rozmus. 44-49 [doi]
- A constructive neural network algorithm for function approximationTim Draelos, Don R. Hush. 50-55 [doi]
- Exploration of full-text databases with self-organizing mapsTimo Honkela, Samuel Kaski, Krista Lagus, Teuvo Kohonen. 56-61 [doi]
- A neuron that learns to separate one signal from a mixture of independent sourcesAapo Hyvärinen, Erkki Oja. 62-67 [doi]
- Supervised estimation of random variables taking on values in finite, ordered setsMario Costa, Davide Palmisano, Eros Pasero. 68-73 [doi]
- Robust principal component extracting neural networksK. I. Diamantaras. 74-77 [doi]
- Modelling weight- and input-noise in MLP learningPeter J. Edwards, Alan F. Murray. 78-83 [doi]
- Sparse initial topologies for high order perceptronsAndrea De Pol, Georg Thimm, Emile Fiesler. 84-89 [doi]
- Generalization error of ensemble estimatorsNaonori Ueda, Ryohei Nakano. 90-95 [doi]
- Ensemble pruning algorithms for accelerated trainingSayandev Mukherjee, Terrence L. Fine. 96-101 [doi]
- An adaptive and fully sparse training approach for multilayer perceptronsFang Wang, Q. J. Zhang. 102-107 [doi]
- Nearest neighbor rules PAC-approximate feedforward networksNageswara S. V. Rao. 108-113 [doi]
- Experimental analysis of generalization capability based on information criteriaTakashi Onoda. 114-119 [doi]
- Selforganizing Clifford neural networkEduardo Bayro-Corrochano, Sven Buchholz 0001, Gerald Sommer. 120-125 [doi]
- A parallel approach to plastic neural gasFabio Ancona, Stefano Rovetta, Rodolfo Zunino. 126-130 [doi]
- Application of adaptive RPCL-CLP with trading system to foreign exchange investmentYiu-ming Cheung, Helen Z. H. Lai, Lei Xu 0001. 131-136 [doi]
- Minimum complexity estimator for RBF networks architecture selectionLucia Sardo, Josef Kittler. 137-142 [doi]
- Frequency sensitive Hebbian learningGuoping Qiu, Alexander W. Booth. 143-148 [doi]
- An orthogonal delta weight estimator for MLP architecturesNicolas Pican. 149-154 [doi]
- Adaptation from fixed weight dynamic networksLee A. Feldkamp, Gintaras V. Puskorius, P. C. Moore. 155-160 [doi]
- Nested Q-learning of hierarchical control structuresBruce L. Digney. 161-166 [doi]
- Application of sequential reinforcement learning to control dynamic systemsMartin Riedmiller. 167-172 [doi]
- Identification and dynamic data rectification using state correcting recurrent neural networksRandall S. Barton, David M. Himmelblau. 173-177 [doi]
- From batch to recursive outlier-robust identification of non-linear dynamic systems with neural networksPhilippe Thomas 0001, Gérard Bloch. 178-183 [doi]
- Nonlinear system process prediction using neural networksRiccardo Carotenuto, Luisa Franchina, Moreno Coli. 184-189 [doi]
- On reconstruction error of Kohonen self-organizing mappingYi Sun. 190-195 [doi]
- Fast learning algorithms for training of feedforward multilayer perceptrons based on extended Kalman filterDusko Katic, Srdjan Stankovic. 196-201 [doi]
- Casasent network density estimationAmir Sarajedini, Paul M. Chau. 202-206 [doi]
- Soft multiple winners for sparse feature extractionHarri Lappalainen. 207-210 [doi]
- Multivariate data projection techniques based on a network of enhanced neural elementsGiuseppe Acciani, Ernesto Chiarantoni, M. Minenna, Francesco Vacca. 211-216 [doi]
- Extending the FPE and the effective number of parameters to neural estimatorsCesare Alippi. 217-222 [doi]
- Performance evaluation of neural network algorithms for multisensor data fusion in an airborne track while scan radarL. M. Patnaik, Hema Nair, Varghese Abraham, G. Raghavendra, Shishir Kumar Singh, Rajan Srinivasan, K. Ramchand. 223-228 [doi]
- Cascade error projection: a new learning algorithmTuan A. Duong, Allen R. Stubberud, Taher Daud, Anil Thakoor. 229-234 [doi]
- On MISE convergence rates of radial basis functions networksAdam Krzyiak, Heinrich Niemann. 235-240 [doi]
- Using weight decay to optimize the generalization ability of a perceptronSiegfried Bös, Eng Siong Chng. 241-246 [doi]
- A modified learning algorithm for improving the fault tolerance of BP networksNaihong Wei, Shiyuan Yang, Shibai Tong. 247-252 [doi]
- About perceptron realizations of Bayesian decisionsIgor Vajda. 253-257 [doi]
- Structure study of feedforward neural networks for approximation of highly nonlinear real-valued functionsJing Xiao, Zhanbo Chen, Jie Cheng. 258-263 [doi]
- Fractal connection structure: effect on generalization in supervised feed-forward networksBasabi Chakraborty, Yasuji Sawada. 264-269 [doi]
- Considering adequacy in neural network learningChristoph S. Herrmann, Frank Reine. 270-275 [doi]
- Improving generalization of a well trained networkGoutam Chakraborty, Shoichi Noguchi. 276-281 [doi]
- Crosscorrelation estimation using teacher forcing Hebbian learning and its applicationChuan Wang, Hsiao-Chun Wu, José C. Príncipe. 282-287 [doi]
- A novel weight training methodology for a multi-layer feed-forward neural netRakesh Chitradurga. 288-293 [doi]
- Topology preservation in self-organizing mapsKimmo Kiviluoto. 294-299 [doi]
- Can supervised learning be achieved without explicit error back-propagation?Robert D. Brandt, Feng Lin. 300-305 [doi]
- The probability distribution of parameters learned with the EM algorithmKazushi Ikeda, Lei Xu. 306-310 [doi]
- A new clustering and training method for radial basis function networksYoumin Zhang 0001, X. Rong Li, Zhiwei Zhu, Hongcai Zhang. 311-316 [doi]
- Some enhancements of the constraint based decomposition training architectureSorin Draghici. 317-322 [doi]
- Bounds for hidden units of simple recurrent networksJacques Ludik, Ian Cloete. 323-328 [doi]
- Residual advantage learning applied to a differential gameMance E. Harmon, Leemon C. Baird III. 329-334 [doi]
- Admissibility of memorization learning with respect to projection learning in the presence of noiseAkira Hirabayashi, Hidemitsu Ogawa. 335-340 [doi]
- A probabilistic extension for the DDA algorithmMichael R. Berthold. 341-346 [doi]
- Learning task-dependent distributed representations by backpropagation through structureChristoph Goller, Andreas Küchler. 347-352 [doi]
- Forward propagation universal learning networkKotaro Hirasawa, Masanao Ohbayashi, Masaru Koga, Masaaki Harada. 353-358 [doi]
- Neural networks of combination of forecasts for data with long memory patternMasood A. Badri. 359-364 [doi]
- Learning activation rules for associative networksJames A. Reggia, Eric L. Grundstrom, Rita Sloan Berndt. 365-370 [doi]
- Local minima and generalizationSteve Lawrence, Ah Chung Tsoi, C. Lee Giles. 371-376 [doi]
- Experiments on estimating random mappingK. M. Ho, C.-J. Wang. 377-380 [doi]
- A convergence theorem for incremental learning with real-valued inputsMirta B. Gordon. 381-386 [doi]
- Fuzzy logic adapted nodal training parameterMichael S. Gelder. 387-391 [doi]
- Integer-weight approximation of continuous-weight multilayer feedforward netsAltaf H. Khan, Roland G. Wilson. 392-397 [doi]
- Improvement of classification accuracy by using enhanced query-based learning neural networksShyh-Jier Huang, Ching-Lien Huang. 398-402 [doi]
- On-line evolutionary learning of NN-MLP based on the attentional learning conceptQiangfu Zhao. 403-408 [doi]
- A generalized backpropagation algorithm for faster convergenceSin Chun Ng, S. H. Leung, Andrew Luk. 409-413 [doi]
- Limiting the effects of weight errors in feedforward networks using interval arithmeticDavide Anguita, Sandro Ridella, Stefano Rovetta, Rodolfo Zunino. 414-417 [doi]
- Second differentials in arbitrary feedforward neural networksFabrice Rossi. 418-423 [doi]
- Texture classification using a probabilistic neural network and constraint satisfaction modelP. P. Raghu, B. Yegnanarayana. 424-429 [doi]
- SHAKE-A multi-criterion optimization scheme for neural network trainingSilvio S. Pacheco, Antonio G. Thomé. 430-435 [doi]
- Selection of minimum training data for generalization and online training by multilayer neural networksKazuyuki Hara, Kenji Nakayama. 436-441 [doi]
- Experiments that reveal the limitations of the small initial weights and the importance of the modified neural modelM. (Sasheei) Saseetharran. 442-447 [doi]
- Pruning via Dynamic Adaptation of the Forgetting Rate in Structural LearningDamon A. Miller, Jacek M. Zurada, John H. Lilly. 448 [doi]
- An Objective Function for IndependenceGonçalo C. Marques, Luís B. Almeida. 453 [doi]
- Annealing based dynamic learning in second-order neural networksSrdjan Milenkovic, Zoran Obradovic, Vanco B. Litovski. 458-463 [doi]
- Vector quantization of residual images using self-organizing mapEero Yli-Rantala, Tommi Ojala, Petri Vuorimaa. 464-467 [doi]
- Levenberg-Marquardt training for modular networksMeng-Hock Fun, Martin T. Hagan. 468-473 [doi]
- Correctness, efficiency, extendability and maintainability in neural network simulationSteve Lawrence, Ah Chung Tsoi, C. Lee Giles. 474-479 [doi]
- Constructing principal manifolds in sparse data sets by self-organizing maps with self-regulating neighborhood widthRalf Der, Gerd Balzuweit, Michael Herrmann. 480-483 [doi]
- Determining the number of dimensions underlying customer-choices with a competitive neural networkMichiel C. van Wezel, Joost N. Kok, Kaisa Sere. 484-489 [doi]
- Algorithmic enhancements to a backpropagation interior point learning ruleJun Ji, George V. Meghabghab. 490-495 [doi]
- A sigmoidal radial basis function neural network for function approximationJea-Rong Tsai, Pau-Choo Chung, Chein-I Chang. 496-501 [doi]
- Associative memories based on networks of delay differential equationsBruno Crespi, E. Omerti. 502-506 [doi]
- Neural network compensation of optimization circuit for minimax path problemsH. S. Ng, K. P. Lam. 507-512 [doi]
- A noise annealing neural network for global optimizationJózsef Bíró, Zoltán Koronkai, Tibor Trón. 513-518 [doi]
- An associative memory based on the immune networksFabio Abbattista, Giovanni Di Gioia, Giuseppe Di Santo, Anna Maria Fanelli. 519-523 [doi]
- Robust optimization using training set evolutionDan Ventura, Tony R. Martinez. 524-528 [doi]
- Distribution of asymptotically stable states in Hopfield network for TSPSatoshi Matsuda. 529-531 [doi]
- A modified ANN for convex programming with linear constraintsDijin Gong, Mitsuo Gen, Genji Yamazaki, Weixuan Xu. 537-542 [doi]
- A memory model based on LRAAM for associative access of structuresAlessandro Sperduti, Antonina Starita. 543-548 [doi]
- A general auto-associative memory modelXinhua Zhuang, Hongchi Shi, Yunxin Zhao. 549-554 [doi]
- Intersection learning for bidirectional associative memoryMotonobu Hattori, Masafumi Hagiwara. 555-560 [doi]
- Orthogonal projections and the assignment problemWilliam J. Wolfe, Richard M. Ulmer. 561-564 [doi]
- Tiling algorithm with fitting violation function for analog neural arrayHideki Asai, Takeshi Nakayama, Hiroshi Ninomiya. 565-570 [doi]
- Determining the minimum number of transmissions in multicast packet radio networksThomas L. Hemminger, Carlos A. Pomalaza-Raez. 571-576 [doi]
- Optimisation neural networks by mismatched filter modelAleksa J. Zejak, Miroslav L. Dukic, Vladimir Smiljakovic, Zoran Golubicic. 577-582 [doi]
- The Hamming associative memory and its relation to the exponential capacity DAMMohamad H. Hassoun, Paul Benedict Watta. 583-587 [doi]
- A shape classifier based on Hopfield-Amari networkAlan M. N. Fu, Hong Yan 0001. 588-593 [doi]
- A new model for bidirectional associative memoriesShanguang Chen, Jinhe Wei, Yongjun Zhang, Yong Bao. 594-599 [doi]
- A Hopfield's model to find implicit links in hypertextsYannick Marchand, Jean-Luc Guérin, Jean-Paul A. Barthès. 600-605 [doi]
- Handling uncertainty in neural networks: an interval approachSimeon J. Simoff. 606-610 [doi]
- A novel neural-network-related approach for regression analysis with interval modelLei Huang, Bai-ling Zhang. 611-616 [doi]
- A neurocomputing approach for solving the algebraic matrix Riccati equationFredric M. Ham, Emmanuel G. Collins Jr.. 617-622 [doi]
- A new fast U-D factorization-based learning algorithm with applications to nonlinear system modeling and identificationYoumin Zhang 0001, X. Rong Li. 623-628 [doi]
- A hierarchical CMAC architecture for context dependent function approximationChen-Khong Tham. 629-634 [doi]
- Extension of a training set for artificial neural networks and its application to brain source localizationMurat Sönmez, Mingui Sun, Xiaopu Yan, Robert J. Sclabassi. 635-640 [doi]
- EEG pattern recognition-arousal states detection and classificationRuey S. Huang, Chung J. Kuo, Ling-Ling Tsai, Oscal T.-C. Chen. 641-646 [doi]
- Tracking endocardial border motion in ultrasonic images by using neural networks and ARIMA modelling techniquesStavros J. Perantonis, Dimitris A. Karras. 647-652 [doi]
- Hardware architecture of a neural net based retina implant for patients suffering from retinitis pigmentosaMarkus Schwarz, Bedrich J. Hosticka, R. Hauschild, W. Mokwa, Michael Scholles, H. K. Trieu. 653-658 [doi]
- Silicon models of visual cortical processingLuke Theogarajan, Lex A. Akers. 659-664 [doi]
- Sensitivity of biological neuron models to fluctuations in synaptic input timingSean D. Murphy, Edward W. Kairiss. 665-669 [doi]
- A cellular neural network model of the time-coding pathway of sound localization-hyperacuity in timeKároly Lotz, Ladislau Bölöni, Tamás Roska, József Hámori. 670-675 [doi]
- VLSI design for real-time signal processing based on biologically realistic neural modelsRichard H. Tsai, Bing J. Sheu, Theodore W. Berger. 676-681 [doi]
- Context analysis by the gamma neural networkHui-Huang Hsu, LiMin Fu, José C. Príncipe. 682-687 [doi]
- Searching for robust chaos in discrete time neural networks using weight space explorationRadu Dogaru, A. T. Murgan, Stefan Ortmann, Manfred Glesner. 688-693 [doi]
- A brain-state-in-a-box network for narrative comprehension and recallSamuel W. K. Chan, James Franklin. 694-699 [doi]
- Multi-layer radial basis function networks. An extension to the radial basis functionR. J. Craddock, K. Warwick. 700-705 [doi]
- Comparison of brain structure to a backpropagation-learned-structureMario Serna, Leemon C. Baird III. 706-711 [doi]
- Computational properties and auto-organization of a population of cortical neuronsPierre Germain, Yves Burnod. 712-717 [doi]
- MCFC-R: a fuzzy connectionist model for color-blindness plate recognitionYau-Hwang Kuo, Jang-Pong Hsu. 718-723 [doi]
- RETINET: a neural network for the psychophysics of color visionAntonio Glaría-Bengoechea, Jorge Mpodozis-Marín, Ronald Jonas-Zuñiga, Alex Ballesteros Leiva. 724-727 [doi]
- Synchronization using an adaptive threshold in a biologically inspired spatiotemporal neuronWarren A. Richardson, Raja L. Clouse, Soowon Kim, Manjula B. Waldron. 728-733 [doi]
- Biological neural architecture for chromatic adaptation resulting in constant color sensationsTorsten Pomierski, Horst-Michael Gross. 734-739 [doi]
- Constrained information maximizationRyotaro Kamimura, Shohachiro Nakanishi. 740-744 [doi]
- Morphological expressions for DTCNN functionsM. ter Brugge, R. J. Krol, J. A. G. Nijhuis, Lambert Spaanenburg. 745-750 [doi]
- Inner retina interactions mediate edge detection. A CNN analysis of neuronal functionFrank S. Werblin, Adam Jacobs. 751-756 [doi]
- Improvement of detection accuracy in digital mammography with a pruned neural net optimized from heuristic decision rulesFleming Lure, Thaddeus F. Pawlicki, Roger S. Gaborski. 757-761 [doi]
- Detection of contradictions in a semantic neural networkYehuda Salu. 762-767 [doi]
- Real-time models of classical conditioningRainer Malaka, Martin Hammer. 768-773 [doi]
- Epilepsy-like phenomena in chaotic neural networksVladimir E. Bondarenko. 774-777 [doi]
- A neural network diagnostic tool for the chronic fatigue syndromeFritz Solms, Eleen Smit, Zak J. Nel. 778-781 [doi]
- A selectionist approach to auditory perceptionJohn K. Bates. 782-787 [doi]
- Neural model of nonlinear subfield integration in cortical simple cellsEnno Littmann, Heiko Neumann, Luiz Pessoa. 788-793 [doi]
- Implementation of a 3-D model for neocognitronYouguang Xu, Chein-I Chang. 794-799 [doi]
- Neural network techniques for a physiological rooted analysis of auditory brain stem average evoked responses (ABSR)Antonio Glaría-Bengoechea, Carlos Arancibia-Bórquez. 800-803 [doi]
- A model of dynamic associative memoryHideki Kobori, Kazushi Ikeda, Kenji Nakayama. 804-809 [doi]
- Spatio-temporal associative memories-the role of inhibitory neurons in building synfire chainsChristian Lehmann, Nirina Razafinimanana. 810-815 [doi]
- Chaotic bidirectional associative memoryYuko Osana, Motonobu Hattori, Masafumi Hagiwara. 816-821 [doi]
- Neuron and dendrite pruning by synaptic weight shifting in polynomial timeChularat Tanprasert, Thitipong Tanprasert, Chidchanok Lursinsap. 822-827 [doi]
- Loose synchrony in relaxation oscillator networks with time delaysShannon R. Campbell, DeLiang Wang. 828-833 [doi]
- A neural model of sequential memoryDeLiang Wang, Budi Yuwono. 834-839 [doi]
- Neural networks and child language development: a simulation using a modular neural network architectureSyed Sibte Raza Abidi. 840-845 [doi]
- Internal states of pulse-type hardware neuron model with chaotic dynamicsKazutaka Someya, Hidekazu Shinozaki, Eiko Miyata, Yoshifumi Sekine. 846-851 [doi]
- Classification of mouse chromosomes using artificial neural networksMohamad T. Musavi, M. Qiao, Muriel T. Davisson, E. C. Akeson. 852-857 [doi]
- CLF networks with dynamic attention phaseGyörgy Hernadi, Olin G. Johnson. 858-861 [doi]
- An autonomously controlled chaos neural networkMasahiro Nakagawa. 862-867 [doi]
- A modular architecture for hybrid VLSI neural networks and its application in a smart photosensorHormoz Djahanshahi, Majid Ahmadi, Graham A. Jullien, William C. Miller. 868-873 [doi]
- An edge enhancement technique for analog VLSI early vision applicationsMatthew D. Rowley, John G. Harris. 874-879 [doi]
- A programmable Gaussian nodeRavishankar Kuppuswamy, Luke Theogarajan, Lex A. Akers. 880-885 [doi]
- The continuous retina: image processing with a single-sensor artificial neural field networkJonathan W. Mills. 886-891 [doi]
- Simulation of real time image processing: MFA in VLSIGriff L. Bilbro, Lester C. Hall, Mark Clements, Wentai Liu. 892-897 [doi]
- Implementation of cellular neural network operating with bipolar imagesAri Paasio, Adam Dawidziuk, Veikko Porra. 898-901 [doi]
- The silicon vocal tractKevin M. Jones, John G. Harris. 902-907 [doi]
- VLSI implementation of rehabituationVijay K. Goru, Lex A. Akers. 908-913 [doi]
- Real-time tracking control using modular neural chips with on-chip learningFathi M. A. Salam, Hwa-Joon Oh. 914-919 [doi]
- Neuromorphic analog communicationJan-Tore Marienborg, Tor Sverre Lande, Mats Høvin, Ånen Abusland. 920-925 [doi]
- Design and implementation of neuro-based discrete Walsh transform processorTakeshi Kamio, Hiroshi Ninomiya, Hideki Asai. 926-931 [doi]
- On modifications of Kohonen's feature map algorithm for an efficient parallel implementationNikolaos Vassilas, Patrick Thiran, Paolo Ienne. 932-937 [doi]
- Fuzzified neural network for similar/dissimilar sensor fusionAndrew Kostrzewski, Dai Hyun Kim, Jeongdal Kim, Tomasz P. Jannson, Gajendra D. Savant. 938-942 [doi]
- Radiation behavior of analog neural network chipsHarry Langenbacher, Frank Zee, Taher Daud, Anil Thakoor. 943-950 [doi]
- Exploiting network redundancy for low-cost neural network realizationsH. Keegstra, Walter J. Jansen, J. A. G. Nijhuis, Lambert Spaanenburg, H. Stevens, Jan Tijmen Udding. 951-955 [doi]
- A hardware supported system for a special online application of self-organizing mapXiang Fang, Peter Thole, Josef Göppert, Wolfgang Rosenstiel. 956-961 [doi]
- Mapping of multilayer perceptron networks to tree shape parallel neurocomputerTimo Hämäläinen 0001, Harri Klapuri, Jukka Saarinen, Kimmo Kaski. 962-967 [doi]
- Electronic implementation for competitive neural network: a prototypeLuis M. Flores-Nava, Susana Ortega-Cisneros, Felipe Gomez-Castañeda, Jose A. Moreno-Cadenas. 968-973 [doi]
- A conic section function network synapse and neuron implementation in VLSI hardwareTülay Yildirim, John S. Marsland. 974-979 [doi]
- Design and implementation of neural network logic circuits with global convergenceHiroshi Ninomtya, Kunitaka Egawa, Takeshi Kamio, Hideki Asai. 980-985 [doi]
- CMOS implementation of a pulse-coupled neuron cellBogdan M. Wilamowski, Richard C. Jaeger, Mary Lou Padgett, Lawrence J. Myers. 986-990 [doi]
- Speed-up of learning in second order neural networks and its application to model synthesis of electrical devicesJan Wilk, Eva Wilk, Bodo Morgenstern. 991-996 [doi]
- Experience with the reactive tabu search as implemented in the TOTEM chipClark S. Lindsey, Thomas Lindblad. 997-1000 [doi]
- Probing technique for neural net fault detectionThitipong Tanprasert, Chularat Tanprasert, Chidchanok Lursinsap. 1001-1005 [doi]
- PANTHER: a parallel neuro-systolic architecture for real-time processingMinesh I. Patel, N. Ranganathan. 1006-1011 [doi]
- A modified Hamming neural network with different thresholds and multi-valued weightsWei Lu, Bingxue Shi, Zhijian Li. 1012-1016 [doi]
- Face recognition using hybrid classifier systemsSrinivas Gutta, Harry Wechsler. 1017-1022 [doi]
- Representation of fuzzy finite state automata in continuous recurrent, neural networksChristian W. Omlin, Karvel K. Thornber, C. Lee Giles. 1023-1027 [doi]
- A neuro-fuzzy approach to agglomerative clusteringAnupam Joshi, Naren Ramakrishnan, John R. Rice, Elias N. Houstis. 1028-1033 [doi]
- An automatic fuzzy neural network driven signature verification systemRuowei Zhou, Chai Quek. 1034-1039 [doi]
- RBF fuzzy controller with virus-evolutionary genetic algorithmKoji Shimojima, Naoyuki Kubota, Toshio Fukuda. 1040-1043 [doi]
- Weighted fuzzy learning vector quantization and weighted fuzzy c-means algorithmsNicolaos B. Karayiannis. 1044-1049 [doi]
- A local approach for a fuzzy error function used in multilayer perceptron training through genetic algorithmDidier Guériot, Eric P. Maillard. 1050-1055 [doi]
- A genetic algorithm for reinforcement learningLong Zhao, Zemin Liu. 1056-1060 [doi]
- Learning in fuzzy neural networksThomas Feuring. 1061-1066 [doi]
- Tuning Hopfield neural network by a fuzzy approachVincenzo Catania, Salvatore Cavalieri, Marco Russo. 1067-1072 [doi]
- Learning in reactive sequential decision tasks: the CLARION modelRon Sun, Todd Peterson. 1073-1078 [doi]
- NetFAN-a structured adaptive fuzzy approachOlaf Huwendiek, Werner Brockmann. 1079-1084 [doi]
- Quantum neural networks (QNNs): inherently fuzzy feedforward neural networksGopathy Purushothaman, Nicolaos B. Karayiannis. 1085-1090 [doi]
- Using neural networks to control the process of plasma etching and depositionGamze Erten, Ammar B. A. Gharbi, Fathi M. A. Salam, Timothy A. Grotjohn, Jes Asmussen. 1091-1096 [doi]
- A fuzzy classifier based on partitioned hyperboxesRuck Thawonmas, Shigeo Abe. 1097-1102 [doi]
- CMHNN: a constructive modular hybrid neural network for classificationJosé L. Alba, Laura Docío. 1103-1108 [doi]
- A new fuzzy approach for pattern recognition with application to EMG classificationYong-Sheng Yuag, Francis K. Lam, Francis H. Y. Chan, Yuan-Ting Zhang, Philip A. Parker. 1109-1114 [doi]
- Coupling weight elimination and genetic algorithmsGeorge Bebis, Michael Georgiopoulos, Takis Kasparis. 1115-1120 [doi]
- A NN algorithm for Boolean satisfiability problemsWilliam M. Spears. 1121-1126 [doi]
- Limited precision incremental communication: error analysisAli A. Ghorbani, Virendrakumar C. Bhavsar. 1127-1132 [doi]
- Generating fuzzy if-then rules from trained neural networks: linguistic analysis of neural networksHisao Ishibuchi, Manabu Nii. 1133-1138 [doi]
- Rule extraction by successive regularizationMasumi Ishikawa. 1139-1143 [doi]
- Symbolic logic inference system based on recurrent multilayered perceptron neural networksGuoyin Wang, Hongbao Shi. 1144-1149 [doi]
- The N-R method of acquiring multi-step reasoning production rules based on NNYi Li, Hongbao Shi. 1150-1155 [doi]
- A pseudo outer-product based fuzzy neural network and its rule-identification algorithmRuowei Zhou, Chai Quek. 1156-1161 [doi]
- A clustering algorithm using evolutionary programmingManish Sarkar, B. Yegnanarayana. 1162-1167 [doi]
- A fuzzy neural network architecture for fuzzy control and classificationB. Chen, Lawrence L. Hoberock. 1168-1173 [doi]
- A fuzzy classifier for visual crowding estimatesTarcisio Coianiz, Massimo Boninsegna, Bruno Caprile. 1174-1178 [doi]
- A new fuzzy linear mapping technique for facial feature extraction and recognitionGwo-Jong Yu, Hong-Yuan Mark Liao, Jang-Ping Sheu. 1179-1184 [doi]
- Design of discrete coefficient FIR filters using fast simulated evolutionary optimizationSathyanarayan S. Rao, Kumar Chellapilla. 1185-1190 [doi]
- Fuzzy regression analysis by neural networks with non-symmetric fuzzy number weightsHisao Ishibuchi, Manabu Nii. 1191-1196 [doi]
- Feature selection: a neuro-fuzzy approachSankar K. Pal, Jayanta Basak, Rajat K. De. 1197-1202 [doi]
- A robust hybrid controller for robotic manipulators using neural and H/sub /spl infin// techniquesA. R. Kalyan, M. Gopal. 1203-1208 [doi]
- Self-learning fuzzy neural networks for control of the arc welding processS. B. Chen, L. Wu, Q. L. Wang. 1209-1214 [doi]
- Neurosolver solves blocks world problemsAndrzej Bieszczad, Bernard Pagurek. 1215-1220 [doi]
- SplitNet: learning of tree structured Kohonen chainsJürgen Rahmel. 1221-1226 [doi]
- A geometric method to obtain error-correcting classification by neural networks with fewer hidden unitsVera Kurková, Paul C. Kainen. 1227-1232 [doi]
- Neural information processing using network-in-a-fieldPing Liang. 1233-1238 [doi]
- Generalized potential function neural net classificationThomas D. Gamble, John L. Perry. 1239-1244 [doi]
- A logarithmic neural network architecture for unbounded non-linear function approximationJ. Wesley Hines. 1245-1250 [doi]
- Efficient estimation of dynamically optimal learning rate using higher order derivativesXiao-Hu Yu. 1251-1256 [doi]
- HONEST: a new high order feedforward neural networkAshraf M. Abdelbar, Gene A. Tagliarini. 1257-1262 [doi]
- Heterogeneous radial basis function networksD. Randall Wilson, Tony R. Martinez. 1263-1267 [doi]
- A constructive learning algorithm for an HMEKazumi Saito, Ryohei Nakano. 1268-1273 [doi]
- A sensitivity analysis algorithm for pruning feedforward neural networksAndries P. Engelbrecht, Ian Cloete. 1274-1278 [doi]
- Modular neural network architectures for classificationGasser Auda, Mohamed Kamel, Hazem Raafat. 1279-1284 [doi]
- Methodology for the construction of more efficient artificial neural networks by means of studying and selecting the training setJulián Dorado de la Calle, Antonino Santos del Riego, Alejandro Pazos Sierra. 1285-1290 [doi]
- Probabilistic memory capacity of recurrent neural networksSeiji Miyoshi, Kenji Nakayama. 1291-1296 [doi]
- An analysis of noisy recurrent neural networksSoumitra Das, Oluseyi Farotimi. 1297-1301 [doi]
- A recurrent network with stochastic weightsJieyu Zhao, John Shawe-Taylor. 1302-1307 [doi]
- A condition for a unique equilibrium point in a recurrent neural networkFrancis Hunt, David Pearson. 1308-1311 [doi]
- CFART: a multi-resolutional adaptive resonance systemHai-Lung Hung, Hong-Yuan Mark Liao, Chwen-Jye Sze, Shing-Jong Lin, Wei-Chung Lin, Kuo-Chin Fan. 1312-1317 [doi]
- A neural network model for information retrieval using latent semantic indexingInien Syu, Sheau-Dong Lang, Narsingh Deo. 1318-1323 [doi]
- Memorization of melodies by complex-valued recurrent networkMakoto Kinouchi, Masafumi Hagiwara. 1324-1328 [doi]
- A single-layer systolic architecture for backpropagation learningJean Frédéric Myoupo, David Semé. 1329-1333 [doi]
- Guaranteeing crossbar switching by Hopfield network efficient and fail-safeSatoshi Matsuda. 1334-1339 [doi]
- Speed up the back-propagation learning algorithm by the broadcast communication modelTzung-Pei Hong, Jyh-Jong Lee. 1340-1344 [doi]
- An implementation of the self-organizing map on the CNAPS neurocomputerVille Pulkki, Taneli Harju. 1345-1349 [doi]
- Recursive least squares approach to learning in recurrent neural networksRaffaele Parisi, Elio D. Di Claudio, A. Rapagnetta, Gianni Orlandi. 1350-1354 [doi]
- A neuro-emulator with learning and virtual emulation capabilitiesValentine C. Aikens II, José G. Delgado-Frias, Steven M. Barber, Gerald G. Pechanek, Stamatis Vassiliadis. 1355-1360 [doi]
- A parallel design and implementation for backpropagation neural network using MIMD architectureSherif Kassem Fathy, Mostafa M. Syiam. 1361-1366 [doi]
- Stable encoding of spatial structure by a recurrent neural network in the presence of noisy dataBoris S. Gutkin, Charles E. Smith. 1367-1371 [doi]
- Hierarchical classification with a stochastic competitive evolutionary neural treeKate Butchart, Neil Davey, Rod Adams. 1372-1377 [doi]
- Learning regular languages via recurrent higher-order neural networksKen Tanaka, Itsuo Kumazawa. 1378-1383 [doi]
- Fault tolerance parameter model of radial basis function networksAndreu Català Mallofré, Xavier Parra Llanas. 1384-1389 [doi]
- Hierarchical feature maps for non-linear component analysisMichael Herrmann, Ralf Der, Gerd Balzuweit. 1390-1394 [doi]
- Estimation of correctness region using clustering in mixture of expertsJong Min Park, Yu Hen Hu. 1395-1399 [doi]
- Facial expression synthesis by radial basis function network and image warpingMary Y. Y. Leung, Hung Yen Hui, Irwin King. 1400-1405 [doi]
- Automatic feature determination using unsupervised neural networks. Application to image registrationStéphane Le Beux, Guy Cazuguel, Basel Solaiman, Christian Roux. 1406-1409 [doi]
- Spatio-temporal image filtering with cellular neural networksBertram E. Shi. 1410-1415 [doi]
- Multiresolution wavelet analysis based feature extraction for neural network classificationC.-H. Chen, G. G. Lee. 1416-1421 [doi]
- Deep feedforward networks: application to pattern recognitionHaroon Atique Babri, Yin Tong. 1422-1426 [doi]
- Unsupervised learning network based on gradient descent procedure of fuzzy objective functionHyun Sook Rhee, Kyung-Whan Oh. 1427-1432 [doi]
- Extensions of principal component analysis for nonlinear feature extractionAgus Sudjianto, Mohamad H. Hassoun, Gary S. Wasserman. 1433-1438 [doi]
- CNeT: competitive neural trees for pattern classificationSven Behnke, Nicolaos B. Karayiannis. 1439-1444 [doi]
- Self-organizing neural networks for class-separability featuresChanchal Chatterjee, Vwani P. Roychowdhury. 1445-1450 [doi]
- Texture mixture modelling using the neural network approachPiotr Wilinski, Basel Solaiman, Alain Hillion, Witold Czamecki. 1451-1455 [doi]
- Handwritten Chinese character recognition by ARG matching using self-organising Hopfield neural networkPonnuthurai N. Suganthan, Hong Yan 0001. 1456-1461 [doi]
- Competitive learning algorithms for channel optimized vector quantizersDominique Martinez, Woodward Yang. 1462-1467 [doi]
- A comparison of maximum entropy estimation and multivariate logistic regression in the prediction of axillary lymph node metastasis in early breast cancer patientsPoh Lian Choong, Christopher J. S. de Silva. 1468-1473 [doi]
- Graduated assignment graph matchingSteven Gold, Anand Rangarajan 0001. 1474-1479 [doi]
- Classification with learning k-nearest neighborsJorma Laaksonen, Erkki Oja. 1480-1483 [doi]
- A topological approach to the pattern classification in neural networksAlexander Yudashkin. 1484-1487 [doi]
- Classification using Bayesian neural netsJan C. Bioch, Onno van der Meer, Rob Potharst. 1488-1493 [doi]
- Global and local weight sharingDavid Zhang, Yu Hen Hu. 1494-1499 [doi]
- Preprocessing operators for image compression using cellular neural networksOscar Moreira-Tamayo, José Pineda de Gyvez. 1500-1505 [doi]
- Noniterative learning in perceptrons implemented by an ultrafast-learning character-recognition schemeChia-Lun John Hu. 1506-1509 [doi]
- Image compression by CNNPéter L. Venetianer, Tamás Roska. 1510-1515 [doi]
- Meshed snakesCheng-Yuan Liou, Quan-Ming Chang. 1516-1521 [doi]
- An example of tuned neural network based noise reduction filters for imagesArmando J. Pinho. 1522-1527 [doi]
- Mutual information feature extractors for neural classifiersKurt D. Bollacker, Joydeep Ghosh. 1528-1533 [doi]
- Image segmentation by neural oscillator networksDeLiang Wang, David Terman. 1534-1539 [doi]
- Region selection: segmentation, classification and task relevance in a single grouping mechanismFred Henrik Hamker, Horst-Michael Gross. 1540-1545 [doi]
- How many clusters?: A Ying-Yang machine based theory for a classical open problem in pattern recognitionLei Xu. 1546-1551 [doi]
- Real-time image restoration with an artificial neural networkGerald Krell, Andreas Herzog, Bernd Michaelis. 1552-1557 [doi]
- Piecewise polynomial kernel networksEdwin A. Heredia, Gonzalo R. Arce. 1558-1563 [doi]
- Online prediction of multiprocessor memory access patternsM. F. Sakr, C. Lee Giles, Steven P. Levitan, Bill G. Horne, Marco Maggini, Donald M. Chiarulli. 1564-1569 [doi]
- A new distance measure for online character recognitionHolger Schwenk, Maurice Milgram. 1570-1575 [doi]
- A multi-lingual speech recognition system using a neural network approachOscal T.-C. Chen, Chih-Yung Chen, Hwai-Tsu Chang, Fang-Ru Hsu, Huang-Lin Yang, Youn-Gwo Lee. 1576-1581 [doi]
- A new neural network based sequence estimator in non-Gaussian noise environmentJ. F. Weng, S. H. Leung, G. G. Bi. 1582-1587 [doi]
- Neural implementation of fuzzy K-NN classification for seismic pattern recognitionKou-Yuan Huang, Yune-Wei Yuan. 1588-1593 [doi]
- Artificial neural networks with gamma kernels for automatic target detectionMunchurl Kim, José C. Príncipe. 1594-1599 [doi]
- A real-time recurrent learning network structure for dealing with missing sensor dataKürt Meert. 1600-1605 [doi]
- A neural network based classifier for the identification of simple finger motionMichael Heinz, R. Benjamin Knapp. 1606-1609 [doi]
- Statistical risk analysis for classification and feature extraction by multilayer perceptronsChanchal Chatterjee, Vwani P. Roychowdhury. 1610-1615 [doi]
- A neural network approach towards multiradar track fusionM. Mohandes, Robert E. Bogner, Salim Bouzerdoum, Kenneth J. Pope. 1616-1621 [doi]
- Classification and prediction of hail using self-organizing neural networksAlfred Ultsch, Gabriela Guimarães, Willi Schmid. 1622-1627 [doi]
- Neural network identification of digital satellite channels: the adaptive nonlinear enhancerMohamed Ibnkahla, Francis Castanie. 1628-1633 [doi]
- Application of neural networks aided target trackingLeonard Chin. 1634-1639 [doi]
- Texture segmentation method considering optimum number of segmentation areas by using neural networksMotohide Yoshimura, Shunichiro Oe, Yasunori Shinohara. 1640-1645 [doi]
- Multi-sensor fusion model for constructing internal representation using autoencoder neural networksYoshinori Yaginuma, Takashi Kimoto, Hiroshi Yamakawa. 1646-1651 [doi]
- GST networks: learning emergent spatiotemporal correlationsChaitanya Tumuluri, Chilukuri K. Mohan, Alok N. Choudhary. 1652-1657 [doi]
- Hierarchical growing cell structuresVanco Burzevski, Chilukuri K. Mohan. 1658-1663 [doi]
- Generic texture analysis applied to newspaper segmentationPaul Stefan Williams, Michael D. Alder. 1664-1669 [doi]
- Implementation of RBF type networks by MLP networksBogdan M. Wilamowski, Richard C. Jaeger. 1670-1675 [doi]
- Nested Q-learning of hierarchical control structuresBruce L. Digney. 1676-1681 [doi]
- Robotic agent control combining reactive and learning capabilitiesWitold Jacak, Stephan Dreiseitl. 1682-1686 [doi]
- Tracking moving objects using adaptive resolutionChristof Born. 1687-1692 [doi]
- Focus of expansion estimation with a neural networkGabriella Convertino, Antonella Branca, Arcangelo Distante. 1693-1697 [doi]
- Hash-coding in CMAC neural networksZi-Qin Wang, Jeffrey L. Schiano, Mark Ginsberg. 1698-1703 [doi]
- Discrete-time adaptive control of feedback linearizable nonlinear systems using neural networksS. Jagannathan. 1704-1709 [doi]
- Gait synthesis of a biped robot using backpropagation through time algorithmJih-Gau Juang, Chun-Shin Lin. 1710-1715 [doi]
- Performance analysis of a new updating rule for TD(/spl lambda/) learning in feedforward networks for position evaluation in Go gameHorace Wai-kit Chan, Irwin King, John C. S. Lui. 1716-1720 [doi]
- Dynamic input/output linearization using recurrent neural networksA. Delgado, Chandrasekhar Kambhampati, Kevin Warwick. 1721-1726 [doi]
- An efficient adaptive input quantizer for resetable dynamic robotic systemsYendo Hu, Ronald D. Fellman. 1727-1731 [doi]
- Combining rotation-invariance images and neural networks for road scene understandingZhigang Zhu, Haojun Xi, Guangyou Xu. 1732-1737 [doi]
- A linear transform that simplifies and improves neural-network classifiersDon Torrieri. 1738-1743 [doi]
- Automated analysis of CT images for the inspection of hardwood logsPei Li, A. Lynn Abbott, Daniel L. Schmoldt. 1744-1749 [doi]
- Interpolation networksLuís Nunes, Luís B. Almeida, Thibault Langlois. 1750-1754 [doi]
- A continuous approximation for the intersection of two hyper-spheres in the Boolean spaceAntônio de Pádua Braga. 1755-1758 [doi]
- Constructing non-orthogonal feature basesHeikki Hyötyniemi. 1759-1764 [doi]
- Neural network reference compensation technique for position control of robot manipulatorsSeul Jung, T. C. Hsia. 1765-1770 [doi]
- A connectionist model for learning robotic grasps using reinforcement learningMedhat A. Moussa, Mohamed S. Kamel. 1771-1776 [doi]
- A new neural network structure composed of small CMACsChun-Shin Lin, Chien-Kuo Li. 1777-1783 [doi]
- On image correspondence using topology preserving mappingsJohn Bellando, Ravi Kothari. 1784-1789 [doi]
- Applying self-organizing networks to recognizing rooms with behavior sequences of a mobile robotSeiji Yamada, Morimichi Murota. 1790-1794 [doi]
- Implementation of field-oriented control of induction motors using neural network observersW. W. L. Keerthipala, B. R. Duggal, Miao Hua Chun. 1795-1800 [doi]
- Stereo matching by neural network that uses Sobel feature dataJung-Hua Wang, Chih-Ping Hsiao. 1801-1806 [doi]
- Adaptive control of robot manipulator with radial-basis-function neural networkShiu Kit Tso, N. L. Lin. 1807-1811 [doi]
- Deformation invariant pattern classification for recognising hand gesturesDylan S. Banarse, A. W. G. Duller. 1812-1817 [doi]
- Neural networks to estimate hydrographic basins evolutionSalvatore Baglio, R. De Pietro, Luigi Fortuna, Salvatore Graziani. 1818-1823 [doi]
- Dynamical neural network for solving a class of nonlinear equation systemsYou-Shen Xia, Da-zhen Ye. 1824-1829 [doi]
- Spectral approximation of functions by using three-layered feedforward neural networksCesare Citterio, Andrea Pelagotti, Vincenzo Piuri, Luca Rocca. 1830-1834 [doi]
- An extension to the Hayashi coupled oscillator network training ruleEdward M. Corwin, Antonette M. Logar, William J. B. Oldham. 1835-1840 [doi]
- Speech signal restoration using an optimal neural network structureXiao Ming Gao, Seppo J. Ovaska, Iiro O. Hartimo. 1841-1846 [doi]
- Orthonormal function neural network for nonlinear system modelingIain Scott, Bernard Mulgrew. 1847-1852 [doi]
- Can recurrent neural networks learn natural language grammars?Steve Lawrence, C. Lee Giles, Sandiway Fong. 1853-1858 [doi]
- Model-free control of nonlinear stochastic systems in discrete timeJames C. Spall, John A. Cristion. 1859-1864 [doi]
- A novel memoryless nonlinear gradient algorithm for a second-order adaptive IIR notch filterYegui Xiao, Yasuhiro Kobayashi, Yoshiaki Tadokoro. 1865-1870 [doi]
- K-subspaces and time-delay autoassociators for phoneme recognitionDuanpei Wu, John N. Gowdy. 1871-1876 [doi]
- Speech classification using a modified focused gamma networkJyh-Ming Kuo, José C. Príncipe. 1877-1882 [doi]
- Improved time series segmentation using gated experts with simulated annealingAshok Srivastava, Andreas Wieigend. 1883-1888 [doi]
- Real time recurrent neural networks for time series prediction and confidence estimationJenq-Neng Hwang, Erik Little. 1889-1894 [doi]
- Compact modular neural networks in a hybrid speaker-independent speech recognition systemAxel Glaeser. 1895-1899 [doi]
- Spatio-temporal self-organizing feature mapsNeil R. Euliano, José C. Príncipe. 1900-1905 [doi]
- A neighborhood map of competing one step predictors for piecewise segmentation and identification of time seriesCraig L. Fancoua, José C. Príncipe. 1906-1911 [doi]
- Isolated spoken number recognition with hybrid of self-organizing map and multilayer perceptronPetri Salmela, Kari Laurila, Seppo Kuusisto, Petri Haavisto, Jukka Saarinen. 1912-1917 [doi]
- Noise robustness enhancement using fourth-order cumulants cost functionChi-Tat Leung, Tommy W. S. Chow. 1918-1923 [doi]
- Channel equalization using radial basis function networkJungsik Lee, Charles D. Beach, Nazif Tepedelenlioglu. 1924-1928 [doi]
- Quasi-optimum detection results using a neural networkDiego Andina, José L. Sanz-González. 1929-1932 [doi]
- A neural demodulator for quadrature amplitude modulation signalsKatsuyoshi Ohnishi, Kenji Nakayama. 1933-1938 [doi]
- Artificial neural networks for aerobic fitness approximationKauko Väinämö, Seppo Nissilä, Timo Mäkikallio, Mikko Tulppo, Juha Röning. 1939-1944 [doi]
- A comparative study of recurrent neural network architectures on learning temporal sequencesTung-Bo Chen, Von-Wun Soo. 1945-1950 [doi]
- Application of artificial neural networks to effective bandwidth estimation in ATM networksZhong Fan, Philip Mars. 1951-1956 [doi]
- A neural network communication equalizer with optimized solution capabilityDavid C. Chen, Bing J. Sheu, Eric Y. Chou. 1957-1962 [doi]
- Massive neural video compression with temporal subsamplingChristopher Cramer, Erol Gelenbe. 1963-1968 [doi]
- Recurrent canonical piecewise linear network and its application to adaptive equalizationXiao Liu, Tülay Adali. 1969-1973 [doi]
- Adaptive blind equalization using artificial neural networksChiu Fai Wong, Terrence L. Fine. 1974-1979 [doi]
- Embedding coupled oscillators into a feedforward architecture for improved time series predictionEdward M. Corwin, Antonette M. Logar, William J. B. Oldham. 1980-1985 [doi]
- The effects of reduced precision bit lengths on feedforward neural networks for speech recognitionSelçuk Sen, William Robertson 0001, William J. Phillips. 1986-1991 [doi]
- Comparison of multilayer and radial basis function neural networks for text-dependent speaker recognitionRobert A. Finan, Andrew T. Sapeluk, Robert I. Damper. 1992-1997 [doi]
- A nonlinear adaptive predictor for speech compressionShawn Hunt. 1998-2002 [doi]
- Neural network models for spotting stop consonant-vowel (SCV) segments in continuous speechC. Chandra Sekhar, B. Yegnanarayana. 2003-2008 [doi]
- A real-time stepwise supervised learning algorithm for time-series prediction and system identificationC. L. Philip Chen, Steven R. LeClair. 2009-2014 [doi]
- Combine multiple time-delay HMEs for speaker identificationKe Chen 0001, Dahong Xie, Huisheng Chi. 2015-2020 [doi]
- Advanced neural network training methods for low false alarm stock trend predictionEmad W. Saad, Danil V. Prokhorov, Donald C. Wunsch II. 2021-2026 [doi]
- Understanding the leasing decision with the help of a Kohonen map. An empirical study of the Belgian marketMarie Cottrell, Eric de Bodt, Emmanuel-Frédéric Henrion. 2027-2032 [doi]
- Application of adaptive RPCL-CLP with trading system to foreign exchange investmentYiu-ming Cheung, Helen Z. H. Lai, Lei Xu 0001. 2033-2038 [doi]
- Real-time feedback control of reactive ion etching using neural networksT. Kim, D. Stokes, Gary May. 2039-2043 [doi]
- Identification of vibrating structures and fault detection using neural networksJ. F. G. de Freitas, A. L. Stevens, A. P. Gaylard, J. N. Ridley, C. F. Landy. 2044-2048 [doi]
- Neural network commissioning of a PI controller for a rigidly coupled motor/mechanical systemJ. G. O'Donovan, Richard C. Kavanagh, John M. D. Murphy, P. J. Roche, Michael G. Egan. 2049-2054 [doi]
- The automatic button-color matching system using Kohonen's self-organizing feature maps in the textile fieldKikuo Fujimura, Shin'ichi Tanaka, Heizo Tokutaka, Satoru Kishida. 2055-2059 [doi]
- Decision making using neural networks: an application to cross-cultural managementHaroon A. Babri, A. Ahad Osman Gani. 2060-2065 [doi]
- Adaptive system identification by nonadaptively trained neural networksJames Ting-Ho Lo. 2066-2071 [doi]
- Adaptive control of nonlinear dynamic systems using /spl theta/-adaptive neural networksSsu-Hsin Yu, Anuradha M. Annaswamy. 2072-2077 [doi]
- Learning rate functions in CMAC neural network based control for torque ripple reduction of switched reluctance motorsChangjing Shang, Donald S. Reay, Barry W. Williams. 2078-2083 [doi]
- Neural networks-based reconstruction of flight data for aircraft crash investigationsMarcello R. Napolitano, Dale A. Windon. 2084-2089 [doi]
- Neural network approach to fault detection in electric power systemsErnesto Vázquez, Héctor J. Altuve, Oscar L. Chacón. 2090-2095 [doi]
- A hybrid neural networks based machine condition forecaster and classifier by using multiple vibration parametersPeter Tse, D. D. Wang. 2096-2100 [doi]
- A neural network application in signal timing controlDaniel C. Chin, Richard H. Smith. 2101-2106 [doi]
- A neural architecture to predict pollution in industrial areasPaolo Arena, Salvatore Baglio, C. Castorina, Luigi Fortuna, G. Nunnari. 2107-2112 [doi]
- A new approach to global minimum and its applications in blind equalizationQilian Liang, Zheng Zhou, Zemin Liu. 2113-2117 [doi]
- Neural networks models for the prediction of stock return volatilityThierry Catfolis. 2118-2123 [doi]
- Multiuser detection in CDMA based on the annealed neural networkSung H. Yoon, Sathyanarayan S. Rao. 2124-2129 [doi]
- Using the general energy function of the random neural networks to solve the graph partitioning problemAguilar Jose. 2130-2135 [doi]
- Adaptive equalization using the complex backpropagation algorithmCheolwoo You, Daesik Hong. 2136-2141 [doi]
- A neural network based ATM call admission controller for multiple service classes with different QoSDu-Hern Lee, Yoan Shin, Young Han Kim. 2142-2147 [doi]
- Application of neural network model for ore boundary delineation based on geophysical logging dataYi Huang, Stefan Wänstedt. 2148-2153 [doi]
- A neural network approach to nondestructive evaluation of complex structures, with application to highway bridgesJames C. Spall, Mark S. Asher, John L. Maryak. 2154-2159 [doi]
- Stock market trend prediction using ARIMA-based neural networksJung-Hua Wang, Jia-Yann Leu. 2160-2165 [doi]
- A neural network for grey level and color correction used in photofinishingMichael Kocheisen, Urs A. Müller, Gerhard Tröster. 2166-2171 [doi]
- Stock market indices in Santiago de Chile: forecasting using neural networksAntonio Glaría-Bengoechea, Claudia Ordóñez-Uretaz, Manuel Marchant Saavedra, Nelson Opazo-Medina. 2172-2175 [doi]
- Device-independent color correction for multimedia applications using neural networks and abductive modeling approachesVasant Shastri, Luis C. Rabel, Egondu Onjeyekwe. 2176-2181 [doi]
- Kernel feature detector: extracting kernel features by minimizing /spl alpha/-informationRyotaro Kamimura, Shohachiro Nakanishi. 2182-2187 [doi]
- A binary neural network approach for net assignment problemsNobuo Funabiki, Seishi Nishikawa, Shigeto Tajima. 2188-2193 [doi]
- Robust design of flow control in ATM network switching by using Gaussian neural networksAlexandru Murgu. 2194-2201 [doi]
- A new model with neural network structure for nonlinear identificationXianfeng Ni, Henk B. Verbruggen, A. J. Krijgsman. 2202-2207 [doi]
- Robust learning control using universal learning networkMasanao Ohbayashi, Kotaro Hirasawa, Junichi Murata, Masaaki Harada. 2208-2213 [doi]
- Dynamic neural networks for input-output linearisationM. H. R. Fazlur Rahman, Rajagopalan Devanathan, Zhu Kuanyi. 2214-2219 [doi]
- Regulation of nonlinear plants using radial basis function neural networksIvica Kostanic, Fredric M. Ham. 2220-2225 [doi]
- Which classes of functions can a given multilayer perceptron approximate?Marco Gori, Franco Scarselli, Ah Chung Tsoi. 2226-2231 [doi]
- Design of controller for nonlinear multivariable system using dynamic neural unit modelSeong-Wook Park, Bo Hyeok Seo. 2232-2237 [doi]
- Nonlinear system control via feedback linearization using neural networksHossam A. Abdel Fattah, Ahmed F. Sakr, Ahmed Bahgat. 2238-2243 [doi]
- Robust identification for unknown nonlinear multivariable systems based on dynamic neural networksQiong-Hai Dai, Zhang Tao, Yu-Mei Zhang, Tian-You Chai, Li-hua Xia. 2244-2249 [doi]
- Reduction of neural network models for identification and control of nonlinear systemsAleksander Malinowski, Damon A. Miller, Jacek M. Zurada. 2250-2254 [doi]
- Fast modelling and control of unknown nonlinear systems via neural networksHong Wang. 2255-2260 [doi]
- Adaptive system identification using multilayer neural networks and Gaussian potential function networksSangbong Park, Cheol Hoon Park. 2261-2265 [doi]
- Two point training for complex plane transformationJingyan Song, Yeung Yam. 2266-2269 [doi]
- A method for fault detection and isolation using neural networksQinghua Zhang, Youmin Zhang. 2270-2275 [doi]