Springer Advances of Soft Computing in Engineering Edition 2009 eBook
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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