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
Language:English
Published: Vienna : Springer Vienna, 2010.
Series:CISM International Centre for Mechanical Sciences, 512
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-211-99768-0
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