ADVANCES OF SOFT COMPUTING IN ENGINEERING

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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Bibliographic Details
Other Authors: Waszczyszyn, Zenon (Editor)
Format: Book
Language:English
Published: Wien Springer 2010
Series:Courses and lectures no. 512
Subjects:
Neural networks (Computer science) > Computer simulation
Genetic algorithms
Soft computing
Civil engineering > Computer simulation
Mechanical engineering > Computer simulation
Online Access:Click Here to View Status and Holdings.
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Summary: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.
Physical Description:336 pages illustrations 24 cm
Bibliography:Includes bibliographical references
ISBN:9783211997673
3211997679

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