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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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Vienna :
Springer Vienna
2010.
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| Colección: | CISM International Centre for Mechanical Sciences ;
512. Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b33024017*spi |
| Sumario: | 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. |
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| Descripción Física: | VIII, 336 p. |
| Formato: | Forma de acceso: World Wide Web. |
| ISBN: | 9783211997680 |
