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