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Advances of Soft Computing in Engineering

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Advances of Soft Computing in Engineering Synopsis

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.

About This Edition

ISBN: 9783709110966
Publication date:
Author: Zenon Waszczyszyn
Publisher: Springer an imprint of Springer Vienna
Format: Paperback
Pagination: 336 pages
Series: CISM International Centre for Mechanical Sciences
Genres: Mechanical engineering
Engineering: Mechanics of solids
Artificial intelligence
Civil engineering, surveying and building