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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Waszczyszyn, Zenon (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Vienna : Springer Vienna : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:CISM International Centre for Mechanical Sciences, Courses and Lectures, 512
Temas:
Mechanical engineering.
Civil engineering.
Artificial intelligence.
Mechanics, Applied.
Solids.
Computational intelligence.
Mechanical Engineering.
Civil Engineering.
Artificial Intelligence.
Solid Mechanics.
Computational Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares