Advances of Soft Computing in Engineering
Zenon Waszczyszyn
Jan 2010 · CISM International Centre for Mechanical Sciences Ibhuku elingu-512 · Springer Science & Business Media
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336
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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.
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