Advances of Soft Computing in Engineering [electronic resource] /
International Centre for Mechanical Sciences,issuing body.
Waszczyszyn, Zenon.editor.
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.
Description based upon print version of record.
Includes bibliographical references.
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.
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.
Mechanical engineering.
Civil engineering.
Artificial intelligence.
Mechanics.
Mechanics, Applied.
Computational intelligence.
Mechanical Engineering.
Civil Engineering.
Artificial Intelligence.
Solid Mechanics.
Computational Intelligence.
Courses and lectures /