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    Journal: Neural Networks

    Volume 4, Issue 6

    701 -- 709Patrick W. B. Moore, Herbert L. Roitblat, Ralph H. Penner, Paul E. Nachtigall. Recognizing successive dolphin echoes with an integrator gateway network
    711 -- 722M. Daniel Tom, Manoel Fernando Tenorio. Short utterance recognition using a network with minimum training
    723 -- 742Stephen Grossberg, Lonce L. Wyse. A neural network architecture for figure-ground separation of connected scenic figures
    743 -- 750Eun-Jin Kim, Yillbyung Lee. Handwritten Hangul recognition using a modified neocognitron
    751 -- 757Michael Georgiopoulos, Gregory L. Heileman, Juxin Huang. Properties of learning related to pattern diversity in ART1
    759 -- 771Gail A. Carpenter, Stephen Grossberg, David B. Rosen. Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
    773 -- 787Michael Reiss, John G. Taylor. Storing temporal sequences
    789 -- 801Paul C. Bressloff, John G. Taylor. Discrete time leaky integrator network with synaptic noise
    803 -- 815Bertrand G. Giraud, Lon Chang Liu, Christophe P. Bernard, Herbert Axelrad. Optimal approximation of square integrable functions by a flexible one-hidden-layer neural network of excitatory and inhibitory neuron pairs
    817 -- 826Yoshifusa Ito. Approximation of functions on a compact set by finite sums of a sigmoid function without scaling
    827 -- 837Osamu Fujita. A method for designing the internal representation of neural networks and its application to network synthesis
    839 -- 845Wolfgang J. Daunicht. DEFAnet--A deterministic neural network concept for function approximation
    847 -- 856Wayne H. Joerding, Jack L. Meador. Encoding a priori information in feedforward networks

    Volume 4, Issue 5

    543 -- 564Jack F. Gerrissen. On the network-based emulation of human visual search
    565 -- 588Gail A. Carpenter, Stephen Grossberg, John H. Reynolds. ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network
    589 -- 598Brian Telfer, David Casasent. Neural closure associative processor
    599 -- 613Subramania I. Sudharsanan, Malur K. Sundareshan. Exponential stability and a systematic synthesis of a neural network for quadratic minimization
    615 -- 618Tariq Samad. Back propagation with expected source values
    619 -- 626Xinhua Zhuang, Yunxin Zhao, Thomas S. Huang. A neural net algorithm for multidimensional maximum entropy spectrum estimation
    627 -- 641Reiner Lenz. On probabilistic invariance
    643 -- 655Marc M. Van Hulle, Guy A. Orban. Representation and processing in a stochastic neural network: An integrated approach
    657 -- 665Denise Gorse, John G. Taylor. A continuous input RAM-based stochastic neural model
    667 -- 678Ahmed S. Abutaleb. A neural network for the estimation of forces acting on radar targets
    679 -- 690Jaroslav Stark. Iterated Function Systems as neural networks

    Volume 4, Issue 4

    431 -- 442Silvio P. Eberhardt, Taher Daud, D. A. Kerns, T. X. Brown, A. P. Thakoor. Competitive neural architecture for hardware solution to the assignment problem
    443 -- 451Shun-ichi Amari. Dualistic geometry of the manifold of higher-order neurons
    453 -- 466Stephen Grossberg, David Somers. Synchronized oscillations during cooperative feature linking in a cortical model of visual perception
    467 -- 476Mathilde Mougeot, Robert Azencott, Bernard Angéniol. Image compression with back propagation: Improvement of the visual restoration using different cost functions
    477 -- 484Arun D. Kulkarni. Solving ill-posed problems with artificial neural networks
    485 -- 491Laura Ignizio Burke. Clustering characterization of adaptive resonance
    493 -- 504Gail A. Carpenter, Stephen Grossberg, David B. Rosen. ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition
    505 -- 510Youichi Kobuchi. State evaluation functions and Lyapunov functions for neural networks
    511 -- 515Edward K. Blum, Leong Kwan Li. Approximation theory and feedforward networks
    517 -- 524Hung-Chun Yau, Michael T. Manry. Iterative improvement of a nearest neighbor classifier
    525 -- 530Daniel B. Rayburn, Adolph J. Januszkiewicz, Gary R. Ripple, John Truwit, Harold F. Summey, Thomas R. Young, Casey C. Klimasauskas, Jamie M. Lee, James R. Snapper. Identification of mediator specific cardiovascular waveforms using a back propagation neural network

    Volume 4, Issue 3

    271 -- 302Aijaz A. Baloch, Allen M. Waxman. Visual learning, adaptive expectations, and behavioral conditioning of the mobile robot MAVIN
    303 -- 317Nicholas G. Hatsopoulos, William H. Warren Jr.. Visual navigation with a neural network
    319 -- 335Sanjay S. Kumar, Allon Guez. ART based adaptive pole placement for neurocontrollers
    337 -- 347William R. Softky, Daniel M. Kammen. Correlations in high dimensional or asymmetric data sets: Hebbian neuronal processing
    349 -- 360Patrick Gallinari, Sylvie Thiria, Fouad Badran, Françoise Fogelman-Soulié. On the relations between discriminant analysis and multilayer perceptrons
    361 -- 369Nico Weymaere, Jean-Pierre Martens. A fast and robust learning algorithm for feedforward neural networks
    371 -- 379Michael K. Weir. A method for self-determination of adaptive learning rates in back propagation
    381 -- 383Vladik Kreinovich. Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem
    385 -- 394Yoshifusa Ito. Representation of functions by superpositions of a step or sigmoid function and their applications to neural network theory
    395 -- 404Dov Ingman, Yoram Merlis. Local minimum escape using thermodynamic properties of neural networks
    405 -- 409Wolfgang Balzer, Masanobu Takahashi, Jun Ohta, Kazuo Kyuma. Weight quantization in Boltzmann machines
    411 -- 415Robert M. Burton, William G. Faris. Reliable evaluation of neural networks
    417 -- 420Edward A. Manykin, M. N. Belov. Higher-order neural networks and photon-echo effect

    Volume 4, Issue 2

    131 -- 145Michael Kuperstein. INFANT neural controller for adaptive sensory-motor coordination
    147 -- 183Paolo Gaudiano, Stephen Grossberg. Vector associative maps: Unsupervised real-time error-based learning and control of movement trajectories
    185 -- 191Esther Levin, Raanan Gewirtzman, Gideon F. Inbar. Neural network architecture for adaptive system modeling and control
    193 -- 205X. Xu, W. T. Tsai. Effective neural algorithms for the traveling salesman problem
    207 -- 224Sukhan Lee, Rhee Man Kil. A Gaussian potential function network with hierarchically self-organizing learning
    225 -- 229A. K. Rigler, J. M. Irvine, Thomas P. Vogl. Rescaling of variables in back propagation learning
    231 -- 241Patrick A. Shoemaker, Michael J. Carlin, Randy L. Shimabukuro. Back propagation learning with trinary quantization of weight updates
    243 -- 249Eduardo D. Sontag, Héctor J. Sussmann. Back propagation separates where perceptrons do
    251 -- 257Kurt Hornik. Approximation capabilities of multilayer feedforward networks

    Volume 4, Issue 1

    1 -- 0Stephen Grossberg. The third anniversary of ::::Neural Networks::::
    3 -- 13Ilya A. Rybak, Natalia Shevtsova, Lubov N. Podladchikova, Alexander V. Golovan. A visual cortex domain model and its use for visual information processing
    15 -- 25Frédéric Alexandre, Frédéric Guyot, Jean-Paul Haton, Yves Burnod. The cortical column: A new processing unit for multilayered networks
    27 -- 40Vladimir Cherkassky, Hossein Lari-Najafi. Constrained topological mapping for nonparametric regression analysis
    41 -- 46Hal L. Smith. Convergent and oscillatory activation dynamics for cascades of neural nets with nearest neighbor competitive or cooperative interactions
    47 -- 51John L. Johnson. Globally stable saturable learning laws
    53 -- 60John W. L. Merrill, Robert F. Port. Fractally configured neural networks
    61 -- 66Yoshio Hirose, Koichi Yamashita, Shimpei Hijiya. Back-propagation algorithm which varies the number of hidden units
    67 -- 79Jocelyn Sietsma, Robert J. F. Dow. Creating artificial neural networks that generalize
    81 -- 87Akio Utsugi, Masatoshi Ishikawa. Construction of inner space representation of latticed network circuits by learning
    89 -- 102Leonid I. Perlovsky, Margaret M. McManus. Maximum likelihood neural networks for sensor fusion and adaptive classification
    103 -- 121Yong Yao, Walter J. Freeman, Brian C. Burke, Qing Yang. Pattern recognition by a distributed neural network: An industrial application
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