Progress in Neural Networks, Volume Two
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Progress in Neural Networks, Volume Two

Progress in Neural Networks, Volume Two

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About the Book

This series reviews research in natural and synthetic neural networks, as well as reviews research in modelling, analysis, design and development of neural networks in software and hardware areas. Contributions from researchers and practitioners aim to shape academic and professional programs in this area, and serve as a platform for detailed and expanded discussion of topics of interest to the neural network and cognitive information processing communities. This series should be of interest to those professionally involved in neural networks research, such as lecturers and primary investigators in neural computing, modelling, learning, memory and neurocomputers.

Table of Contents:
PREFACE               vii   1     PROSPECTS FOR CLASSIFYING COMPLEX IMAGERY USING               1               A SELF-ORGANIZING NEURAL NETWORK        MURALI M. MENON and KARL G. HEINEMANN 2     CONSTRAINT SATSIFACTION NETWORKS FOR VISION               25        RAKESH MOHAN 3     HIGHER-ORDER NEURAL NETWORKS FOR POSITION, SCALE,               69               AND ROTATION INVARIANT PATTERN RECOGNITION        MAX B. REID and LILLY SPIRKOVSKA 4     OPTICAL IMPLEMENTATION OF CLOSEST VECTOR SELECTION IN NEURAL NETWORKS               93        STANLEY C. AHALT, STUART A. COLLINS, JR., ASHOK K. KRISHNAMURTHY, and DANIEL F. STEWART 5     BIOLOGICAL BASIS FOR COMPACT ARTIFICIAL NEURAL NETWORKS               109        PHYLLIS L. ROSTYKUS and ARUN K. SOMANI 6     A HYBRID TIME-SHIFTED NEURAL NETWORK FOR ANALYSING               129               BIOLOGICAL NEURONAL SPIKE TRAINS        DAVID C. TAM 7     A SELF-ORGANIZED NEURAL SYSTEM EXTENDING BACK PROPAGATION               147               TO ACQUIRE AND UTILIZE A KNOWLEDGE STRUCTURE WITHOUT A               TEACHER        BRUCE Y. WU 8     ANALYSIS AND SYNTHESIS OF ARTIFICIAL NEURAL NETWORKS               163               FOR MODELING COMPLEX SYSTEMS        JUN WANG and B. MALAKOOTI 9     GRADIENT-TYPE NEURAL SYSTEMS FOR COMPUTATION AND DECISION MAKING               195        JACEK ZURADA 10   COMPUTATION ON GRAPHS: FROM NEURAL NETWORKS TO CELLULAR AUTOMATA               229        MAX GARZON and STAN FRANKLIN 11   NON-GAUSSIAN FEATURE ANALYSES USING A NEURAL NETWORK               253        WEI GONG, HUNG-CHUN YAU, and MICHAEL T. MANRY 12   PRIMACY AND RECENCY EFFECTS IN BACK PROPAGATION LEARNING               271        SHELLY D.D. GOGGIN, KRISTINA M. JOHNSON, and KARL GUSTAFSON 13   NEURAL-LOGIC NETWORKS               299        S.C. CHAN, L.S. HSU, K.F. LOE, and H.H. TEH              AUTHOR INDEX               337        SUBJECT INDEX              342


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Product Details
  • ISBN-13: 9780893917357
  • Publisher: Intellect
  • Binding: Hardback
  • No of Pages: 200
  • Returnable: Y
  • ISBN-10: 0893917354
  • Publisher Date: 01 May 1994
  • Language: English
  • Returnable: Y


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