Advances of Soft Computing in Engineering
Title:
Advances of Soft Computing in Engineering
ISBN:
9783211997680
Edition:
1st ed. 2010.
Publication Information New:
Vienna : Springer Vienna : Imprint: Springer, 2010.
Physical Description:
VIII, 336 p. online resource.
Series:
CISM International Centre for Mechanical Sciences, Courses and Lectures, 512
Contents:
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.
Abstract:
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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Electronic Access:
Full Text Available From Springer Nature Engineering 2010 Packages
Language:
English