Neurocomputing for Design Automation

✍ Scribed by Hyo Seon Park (Author)

Publisher: CRC Press
Year: 1998
Leaves: 239
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Introduction

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

References

✦ Subjects

Computer Science;Computer Engineering;Engineering & Technology;Electrical & Electronic Engineering;Electrical Engineering Communications;Intelligent Systems

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