Contents of IEEE Transcations on Neural Networks

This is a mirror of Contents of IEEE Transcations on Neural Networks

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Volume 4, Number 2, March 1993
PAPERS
  • VLSI Neuroprocessors for Video Motion Detection
    J.-C. Lee, B.J. Sheu, W.-C. Fang, and R. Chelleappa
  • Control of Nonlinear Dynamical Systems using Neural Networks: Controllability and Stabilization
    A.U. Levin and K.S. Narendra
  • Analysis of the Convergence Properties of Topology Preserving Neural Networks
    Z.-P. Lo, Y. Yu, and B. Bavarian
  • Computing Association Probabilities Using Parallel Boltzman Machines
    R.A. Iltis and P.-Y. Ting
  • OSNet: A Neural Network Implementation of Order Statistic Filters
    P. Shi and R.K. Ward
  • Recursive Dynamic Node Creation in Multilayer Neural Networks
    M.R. Azimi-Sadjadi, S. Sheedvash, and F.O. Trujillo
  • A Connectionist Model for Category Perception: Theory and Implementation
    J. Basak, C.A. Murthy, S. Chaudbury, and D.D. Majumder
  • Reduction of Required Precision Bits for Back-Propagation Applied to Patter Recognition
    S. Sakaue, T. Kohda, H. Yamamoto, S. Maruno, and Y. Shimeki
  • Coarse-Coded Higher-Order Neural Networks for PSRI Object Recognition
    L. Spirkovska and M.B. Reid
  • Transputers and Neural Networks: An Analysis of Implementation Constraints and Performance
    J.M.J. Murre
  • Neural Network for Quadratic Optimization with Bound Constraints
    A. Bouzerdoum and T.R. Pattison
  • Selecting Concise Training Sets from Clean Data
    M. Plutowski and H. White
  • Inhibitory Grids and the Assigment Problem
    W.J. Wolfe, J.M. MacMillan, G. Brady, R. Mathews, J.A. Rothman, D. Mathis, M.D. Orosz, C. Anderson, and G. Alaghband

BRIEF PAPERS
  • Stereopsis by Constraint Learning Feed-Forward Neural Networks
    A. Khotanzad, A. Bokil, and Y.-W. Lee
  • Separating the Vertices of N-Cubes by Hyperplanes and its Application to Artificial Neural Networks
    R. Shonkwiler
  • Continuous-Time Temporal Back-Propagation with Adaptable Time Delays
    S.P. Day and M.R. Davenport

LETTERS
  • Improving the Dynamic Response of Neural Network Controllers Using Velocity Reference Feedback
    K.P. Venugopal and S.M. Smith
  • A Neural Network Model which Combines Unsupervised and Supervised Learning
    K.-R. Hsieh and W.-T. Chen
  • Generalization in Probabilistic RAM Nets
    T.G. Clarkson, Y. Guan, J.G. Taylor, and D. Gorse
  • Multivalued Associative Memories Based on Recurrent Networks
    T.-D. Chiueh and H.-K. Tsai
Volume 4, Number 3, May 1993
PAPERS
  • A single 1.5-V Digital Chip for a 10^6-Synapse Neural Network
    T. Watanabe, K. Kimura, M. Aoki, T. Sakata, and K. Ito
  • The Design of a Neuro-Microprocessor
    J. Wawrzynek, K. Asanovic, and N. Morgan
  • A Generic Systolic Array Building Block for a Neural Networks with On-Chip Learning
    C. Lehmann, M. Viredaz, and F. Blayo
  • The pRAM: An Adaptive VLSI chip
    T.G. Clarkson, C.K. Ng, and Y. Guan
  • An Adaptive Neural Processing Node
    J. Donald and L. Akers
  • A Feedforward Artificial Neural Network Based on Quantum Effect Vector-Matrix Multipliers
    H.J. Levy and T.C. McGill
  • UV-Activated Conductances Allow For Multiple Time Scale Learning
    R.G Benson and D.A. Kerns
  • An Analog CMOS Chip Set for Neural Networks with Arbitrary Topologies
    J.A. Lanser and T. Lehmann
  • A CMOS Analog Adaptive BAM with On-Chip Learning and Weight Refreshing
    B. Linares-Barranco, E. Sanchez-Sinencio, A. Rodriguez-Vazquez, and J.L. Huertas
  • Analog Implementation of a Kohonen Map with On-Chip Learning
    D. Macq, M. Verleysen, P. Jespers, and J.D. Legat
  • A Charge-Based On-Chip Adaptation Kohonen Neural Network
    Y. He and U. Cilingiroglu
  • A Multilevel Neural Network for A/D Conversion
    J. Yuh and R.W. Newcomb
  • A Programmable Analog VLSI Neural Network Processor for Communication Receivers
    J. Choi, S.H Bang, and B.J. Sheu
  • A Fuzzy Inference Engine in Nonlinear Analog Mode and Its Application to a Fuzzy Logic Control (Invited Paper)
    T. Yamakawa
  • Silicon Auditory Processors as Computer Peripherals
    J. Lazzaro, J. Wawrzynek, M. Mahowald, M. Sivilotti, and D. Gillespie
  • Silicon Retina with Correlation-Based, Velocity-Tuned Pixels
    T. Delbruck
Volume 4, Number 4, July 1993
PAPERS
  • Generalized Clustering Networks and Kohonen's Self-Organizing Scheme
    N.R. Pal, J.C. Bezdek, and E.C.-K. Tsao
  • "Neural-Gas" Network for Vector Quantization and its Application to Time-Series Prediction
    T.M. Martinetz, S.G. Berkovich, and K.J. Schulten
  • A Clustering Technique for Digital Communications Channel Equalization Using Radial Basis Function Networks
    S. Chen, B. Mulgrew, and P.M. Grant
  • Collective Recall via the Brain-State-in-a-Box Network
    A. Shultz
  • Paralleled Hardware Annealing for Optimal Solutions on Electronic Neural Networks
    B.W. Lee and B.J. Sheu
  • Performance and Fault-Tolerance of Neural Networks for Optimization
    P.W. Protzel, D.L. Palumbo, and M.K. Arras
  • Neural Network Adaptive Image Coding
    H. Niemann and J.-K.Wu
  • The Capacity of Associative Memories with Malfunctioning Neurons
    M.N. Shirazi, M.N. Shirazi, and S. Maekawa
  • Rival Penalized Competitive Learning for Clustering Analysis, RBF Net, and Curve Detection
    L. Xu, A. Krzyzak, and E. Oja
  • A Novel Multilayer Neural Networks Training Algorithm that Minimizes the Probability of Classification Error
    V. Nedeljkovic
  • Location and Stability of the High-Gain Equilibria of Nonlinear Neural Networks
    M. Vidyasagar
  • An Optoelectronic Implementation of the Adaptive Resonance Neural Network
    D.C. Wunsch, II, T.P. Caudell, C.D. Capps, R.J. Marks, II, and R.A. Falk
  • An Analytical Comparison of a Neural Network and a Model-Based Adaptive Controller
    R.E. Nordgren and P.H. Meckl
  • POPART: Partial Optical Implementation of Adaptive Resonance Theory2
    J.S. Kane and M.J. Paquin

BRIEF PAPERS
  • Mean Field Annealing Using Compound Gauss-Markov Random Fields for Edge Detection and Image Estimation
    J. Zerubia and R. Chellappa
  • A Modified Bidirectional Decoding Strategy Based on the BAM structure
    W.-J. Wang and D.-L. Lee

LETTERS
  • A Simplified Neural Network Solution Through Problem Decomposition: The Case of the Truck Backer-Upper
    R.E. Jenkins and B.P. Yuhas
  • Trail-and-Error Correlation Learning
    O. Fujita
  • Synaptic Weight Noise During Multilayer Perceptron Training: Fault Tolerance and Training Improvements
    A.F. Murray and P.J. Edwards

Volume 4, Number 5, September 1993
PAPERS
  • Pruning Algorithms - A survey
    R. Reed
  • Anti-Hebbian Learning in Topologically Constrained Linear Networks: A Tutorial
    F. Palmieri, J. Zhu, and C. Chang
  • A Multipurpose Neural Processor for Machine Vision Systems
    G.K. Knopf and M.M Gupta
  • Neural Network Design Using Voronoi Diagrams
    N.K. Bose and A.K. Garga
  • Determining and Improving the Fault Tolerance of Multilayer Perceptron in a Pattern-Recognition Application
    M.D. Emmerson and R.I. Damper
  • Back-Propagation User Prior Information Efficiently
    E. Barnard and E.C. Botha
  • Mimic Nets
    G.E. Johnson
  • Symmetries and Discriminability in Feedforward Network Architectures
    J. Shawe-Taylor
  • Ranging Through Gabor Logons - A consistent, Hierarchical Approach
    C. Chang and S. Chatterjee
  • Temporal Winner-Take-All Networks: A Time-Based Mechanism for Fast Selection in Neural Networks
    J.A. Barnden and K. Srinivas

BRIEF PAPERS
  • Neural Networks for Routing of Communication Networks with Unreliable Components
    S.-L. Lee and S. Chang
  • Performance Analysis of the Bidirectional Associative Memory and an Improved Model from the Matched-Filtering Viewpoint
    B.-L. Zhang, B.-Z. Xu, and C.-P. Kwong
  • Synthesis of a Nonrecurrent Associative Memory Based on a Nonlinear Transformation in the Spectral Domain
    B. Hunt, M.S. Nadar, P. Keller, E. VanColln, and A. Goyal

LETTERS
  • Encoding Method for Bidirectional Associative Memory Using Projection on Convex Sets
    C.S. Leung
  • Curvature-Driven Smoothing: A Learning Algorithm for Feedforward Networks
    C.M. Bishop
  • Single Layer Neural Network for Linear System Identification Using Gradient Descent Technique
    S. Bhama and H. Singh

Volume 4, Number 6, November 1993
PAPERS
  • Continuous Speech Recognition by Connectionist Statistical Methods
    H. Bourlard and N. Morgan
  • Approximations of Continuous Functionals by Neural Networks with Application to Dynamic Systems
    T. Chen and H. Chen
  • Identification and Decentralized Adaptive Control Using Dynamical Neural Networks with Application to Robotic Manipulators
    A. Karakasoglu and S.I. Sudharsanan
  • On Solving Constrained Optimization Problems with Neural Networks: A Penalty Method Approach
    W.E. Lillo, M.H. Loh, S. Hui, and S.H. Zak
  • Neural Networks for Shortest Path Computation and Routing in Computer Networks
    M.K.M. Ali and F. Kamoun
  • Silicon Models of Lateral Inhibition
    S. Wolpert and E. Micheli-Tzanakou
  • An Improved Algorithm for Neural Network Classification of Imbalanced Training Sets
    R. Anand, K.G. Mehrotra, C.K. Mohan, and S. Ranka
  • Performance Analysis of a Pipelined Backpropagation Parallel Algorithm
    A. Petrowski, G. Dreyfus, and C. Girault
BRIEF PAPERS
  • A Perception Network for Functional Identification and Control of Nonlinear Systems
    N. Sadegh
  • A Combinatorial Approach to Understanding Perceptron Capabilities
    G.J. Gibson
LETTERS
  • Empirical Results of Using Back-Propagation Neural Networks to Seperate Single Echoes from Multiple Echoes
    W. Chang, B. Bosworth, and G. Clifford Carter
  • Application of Hopfield Network to Saccades
    T. Washizawa
  • Training a Network with Ternary Weights Using the CHIR Algorithm
    S. Abramson, D. Saad, and E. Marom

Volume 5, Number 1, January 1994
PAPERS
  • An Introduction to Simulated Evolutionary Optimization
    D.B. Fogel
  • Evolving Space-Filling Curves to Distribute Radial Basis Functions Over an Input Space
    B.A. Whitehead and T.D. Choate
  • Evolving Recurrent Perceptrons for Time-Series Modelling
    J.R. McDonnell and D. Waagen
  • Genetic Evolution of the Topology and Weight Distribution of Neural Networks
    P.J. Angeline, G.M. Saunders, and J.B. Pollack
  • Solving the Quadratic Assignment Problem with Clues From Nature
    V. Nissen
  • Minimax Design of Neural Net Controllers for Highly Uncertain Plants
    A.V. Sebald and J. Schlenzig
  • Joint Solution of Low-, Intermediate-, and High-Level Vision Tasks by Evolutionary Optimization: Application to Computer Vision at Low SNR
    A.K. Bhattacharjya and B. Roysam
  • Convergence Analysis of Canonical Genetic Algorithms
    G. Rudolph
  • Theoretical Analysis of Evolutionary Algorithms With an Infinite Population Size in Continuous Space, Part I: Basic Properties of Selection and Mutation
    X. Qi and F. Palmieri
  • Theoretical Analysis of Evolutionary Algorithms With an Infinite Population Size in Continuous Space, Part I: Analysis of the Diversification Role of the Crossover
    X. Qi and F. Palmieri
  • Notes on the Simulation of Evolution
    W. Atmar