Advances of Soft Computing in Engineering (CISM International Centre for Mechanical Sciences) 〈No. 512〉

Waszczyszyn, Z. (EDT)

Springer, Wien（2009/11発売）

• 製本 Hardcover:ハードカバー版／ページ数 334 p.／サイズ 215 illus.
• 言語 ENG
• 商品コード 9783211997673

基本説明

Present advanced soft methods related to genetic and evolutionary algorithms, immune systems, formulation of deterministic neural networks and Bayesian NN.

Full Description

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. Numerical efficiency of these soft methods is illustrated on the analysis and design of complex engineering structures.

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.