Neurocomputing for Design Automation: 1st Edition (Hardback) book cover

Neurocomputing for Design Automation

1st Edition

By Hyo Seon Park

CRC Press

240 pages

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Hardback: 9780849320927
pub: 1998-05-22
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Neurocomputing for Design Automation provides innovative design theories and computational models with two broad objectives: automation and optimization.

This singular book:

  • Presents an introduction to the automation and optimization of engineering design of complex engineering systems using neural network computing

  • Outlines new computational models and paradigms for automating the complex process of design for unique engineering systems, such as steel highrise building structures

  • Applies design theories and models to the solution of structural design problems

  • Integrates three computing paradigms: mathematical optimization, neural network computing, and parallel processing

    The applications described are general enough to be applied directly or by extension to other engineering design problems, such as aerospace or mechanical design. Also, the computational models are shown to be stable and robust - particularly suitable for design automation of large systems, such as a 144-story steel super-highrise building structure with more than 20,000 members.

    The book provides an exceptional framework for the automation and optimization of engineering design, focusing on a new computing paradigm - neural networks computing. It presents the automation of complex systems at a new and higher level never achieved before.

  • Reviews

    "The authors show how these models can also be applied to aerospace, mechanical and electronic designs because these disciplines share two characteristics: they are open ended…"-Civil Engineering, February 1999

    Table of Contents


    Counter Propagation Neural Network in Structural Engineering

    Neural Dynamics Model for Structural Optimization - A Theory

    Application of the Neural Dynamics Model to the Plastic Design of Structures

    Nonlinear Neural Dynamics Model Optimization of Space Structures

    Hybrid CPN-Neural Dynamics Model for Discrete Optimization of Steel Structures

    Data Parallel Neural Dynamics Model for Design Optimization for Integrated Design of Large Steel Structures

    Distributed Neural Dynamics Algorithms for Optimization of Large Steel Structures


    About the Series

    Computer Aided Engineering

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    Subject Categories

    BISAC Subject Codes/Headings:
    COMPUTERS / Software Development & Engineering / Systems Analysis & Design
    COMPUTERS / Computer Engineering