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...
Salvato in:
| Autore principale: | |
|---|---|
| Altri autori: | |
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Vienna :
Springer Vienna
[20..].
Cham : Springer Nature |
| Edizione: | 1st ed. 2010. |
| Serie: | CISM International Centre for Mechanical Sciences, Courses and Lectures
512 |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Advances of Soft Computing in Engineering, Texte imprimé, 9783211997673 • Advances of Soft Computing in Engineering, Texte imprimé, 9783211997710 • Advances of Soft Computing in Engineering, Texte imprimé, 9783709110966 |
Sommario:
- Genetic Algorithms for Design Evolutionary and Immune Computations in Optimal Design and Inverse Problems Applications of GA and GP to Industrial Design Optimization and Inverse Problems Advances in Neural Networks in Computational Mechanics and Engineering Selected Problems of Artificial Neural Networks Development Neural Networks: Some Successful Applications in Computational Mechanics