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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Detalhes bibliográficos
Autor principal: Waszczyszyn, Zenon, 1935-2023
Outros Autores: Waszczyszyn, Zenon (Éditeur intellectuel)
Formato: Livre numérique
Idioma:Anglais
Publicado em: Vienna : Springer Vienna [20..].
Cham : Springer Nature
Edição:1st ed. 2010.
Colecção:CISM International Centre for Mechanical Sciences, Courses and Lectures 512
Acesso em linha: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
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505 1 |a 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 
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