Algorithms and Architectures: Algorithms and Architectures v. 1, Pt. 1 (Neural Network Systems Techniques and Applications) Book + PRICE WATCH * Amazon pricing is not included in price watch

Algorithms and Architectures: Algorithms and Architectures v. 1, Pt. 1 (Neural Network Systems Techniques and Applications) Book

Algorithms and Architectures: Volume 1 : Hardback : Elsevier Science Publishing Co Inc : 9780124438613 : 012443861X : 09 Feb 1998 : Presents algorithms and architectures for the realization of neural network systems. This book covers major neural network systems structures for achieving effective systems, and illustrates them with examples. It includes topics such as: Radial Basis Function networks; weight initialization; time-based techniques; among others.Read More

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  • Product Description

    This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples.
    This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems.
    A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering.

    Key Features
    * Radial Basis Function networks
    * The Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks
    * Weight initialization
    * Fast and efficient variants of Hamming and Hopfield neural networks
    * Discrete time synchronous multilevel neural systems with reduced VLSI demands
    * Probabilistic design techniques
    * Time-based techniques
    * Techniques for reducing physical realization requirements
    * Applications to finite constraint problems
    * Practical realization methods for Hebbian type associative memory systems
    * Parallel self-organizing hierarchical neural network systems
    * Dynamics of networks of biological neurons for utilization in computational neuroscience
    Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering, will find this volume a unique and comprehensive reference to a broad array of algorithms and architectures

  • 012443861X
  • 9780124438613
  • Cornelius T. Leondes
  • 9 February 1998
  • Academic Press
  • Hardcover (Book)
  • 460
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