Advances of soft computing in engineering / edited by Zenon Waszczyszyn.
"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....
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| Format: | Ebook |
| Language: | English |
| Published: |
Wien ; New York :
Springer Verlag,
c2010.
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| Series: | Courses and lectures ;
no. 512. |
| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | "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."--Publisher's website. |
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| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 1282836765 3211997687 9781282836761 9783211997680 |