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Advances of Soft Computing in Engineering

✍ Scribed by John Miles (auth.), Zenon Waszczyszyn (eds.)


Publisher
Springer-Verlag Wien
Year
2010
Tongue
English
Leaves
341
Series
CISM International Centre for Mechanical Sciences 512
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-vii
Genetic Algorithms for Design....Pages 1-56
Evolutionary and Immune Computations in Optimal Design and Inverse Problems....Pages 57-132
Applications of GA and GP to Industrial Design Optimization and Inverse Problems....Pages 133-189
Advances in Neural Networks in Computational Mechanics and Engineering....Pages 191-236
Selected Problems of Artificial Neural Networks Development....Pages 237-316
Neural Networks: Some Successful Applications in Computational Mechanics....Pages 317-336

✦ Subjects


Structural Mechanics; Civil Engineering; Computational Intelligence


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