Advances of soft computing in engineering
著者
書誌事項
Advances of soft computing in engineering
（CISM courses and lectures, no. 512）
Springer, c2010
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注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
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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