Advances of Soft Computing in Engineering

The articles in this book present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN. Many attention is paid to hybrid systems for inverse analysis fusing soft methods and the finite element method. Numer...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Waszczyszyn, Zenon (Editor)
Format: Electronic eBook
Language:English
Published: Vienna : Springer Vienna, 2010.
Series:CISM International Centre for Mechanical Sciences, 512
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Genetic Algorithms for Design
  • Evolutionary and Immune Computations in Optimal Design and Inverse Problems
  • Applications of GA and GP to Industrial Design Optimization and Inverse Problems
  • Advances in Neural Networks in Computational Mechanics and Engineering
  • Selected Problems of Artificial Neural Networks Development
  • Neural Networks: Some Successful Applications in Computational Mechanics.