Computational Intelligence in Reliability Engineering (Studies in Computational Intelligence): Gregory Levitin

Computational Intelligence in Reliability Engineering (Studies in Computational Intelligence): Gregory Levitin
Springer | ISBN: 3540373713 | 2006-11-16 | PDF (OCR) | 427 pages | 80.2 Mb
This volume contains chapters presenting applications of different metaheuristics (ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization) in reliability engineering. It also includes chapters devoted to cellular automata and support vector machines and different applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe different aspects of imprecise reliability and applications of fuzzy and vague set theory.
Uploading.com
Rapidshare.com

Computational Intelligence in Reliability Engineering (Studies in Computational Intelligence): Gregory Levitin
Springer | ISBN: 3540373713 | 2006-11-16 | PDF (OCR) | 427 pages | 80.2 Mb
This volume contains chapters presenting applications of different metaheuristics (ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization) in reliability engineering. It also includes chapters devoted to cellular automata and support vector machines and different applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe different aspects of imprecise reliability and applications of fuzzy and vague set theory.
Uploading.com
Rapidshare.com