Cantitate/Preț
Produs

Computational Intelligence in Reliability Engineering: New Metaheuristics, Neural and Fuzzy Techniques in Reliability: Studies in Computational Intelligence, cartea 40

Editat de Gregory Levitin
en Limba Engleză Hardback – 25 oct 2006
This volume includes chapters presenting applications of different metaheuristics in reliability engineering, including ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization. It also presents chapters devoted to cellular automata and support vector machines, and applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe aspects of imprecise reliability and applications of fuzzy and vague set theory.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 74453 lei  39-44 zile
  Springer Berlin, Heidelberg – 19 noi 2010 74453 lei  39-44 zile
  Springer Berlin, Heidelberg – 17 noi 2010 74552 lei  39-44 zile
Hardback (1) 75381 lei  39-44 zile
  Springer Berlin, Heidelberg – 25 oct 2006 75381 lei  39-44 zile

Din seria Studies in Computational Intelligence

Preț: 75381 lei

Preț vechi: 99185 lei
-24%

Puncte Express: 1131

Preț estimativ în valută:
14441 15679$ 12385£

Carte tipărită la comandă

Livrare economică 06-11 mai

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783540373711
ISBN-10: 3540373713
Pagini: 427
Ilustrații: XIV, 413 p.
Dimensiuni: 155 x 235 x 29 mm
Greutate: 0.74 kg
Ediția:2007
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Descriere

This two volume book covers the recent applications of computational intelli gence techniques in reliability engineering. Research in the area of computational intelligence is growing rapidly due to the many successful applications of these new techniques in very diverse problems. “Computational Intelligence” covers many fields such as neural networks, fu zzy logic, evolutionary computing, and their hybrids and derivatives. Many indus tries have benefited from adopting this technology. The increased number of patents and diverse range of products devel oped using computational intelligence methods is evidence of this fact. These techniques have attracted increasing attention in recent years for solving many complex problems. They are inspired by nature, biology, statistical tech niques, physics and neuroscience. They have been successfully applied in solving many complex problems where traditional problem solving methods have failed. The book aims to be a repository for the current and cutting edge applications of computational intelligent techniques in reliability analysis and optimization.

Cuprins

The Ant Colony Paradigm for Reliable Systems Design.- Modified Great Deluge Algorithm versus Other Metaheuristics in Reliability Optimization.- Applications of the Cross-Entropy Method in Reliability.- Particle Swarm Optimization in Reliability Engineering.- Cellular Automata and Monte Carlo Simulation for Network Reliability and Availability Assessment.- Network Reliability Assessment through Empirical Models using a Machine Learning Approach.- Neural Networks for Reliability-Based Optimal Design.- Software Reliability Predictions using Artificial Neural Networks.- Computation Intelligence in Online Reliability Monitoring.- Imprecise Reliability: An Introductory Overview.- Posbist Reliability Theory for Coherent Systems.- Analyzing Fuzzy System Reliability Based on the Vague Set Theory.- Fuzzy Sets in the Evaluation of Reliability.- Grey Differential Equation GM(1,1) Models in Repairable System Modeling.

Textul de pe ultima copertă

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.

Caracteristici

Presents applications of different metaheuristics (ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization) in reliability engineering
Includes chapters devoted to cellular automata and support vector machines and different applications of artificial neural networks
Describes different aspects of imprecise reliability and applications of fuzzy and vague set theory
Includes supplementary material: sn.pub/extras

Recenzii

From the reviews:
"This book is the first volume which covers … metaheuristic approaches in multiobjective reliability optimization and application of genetic algorithms in reliability optimization. … the reviewer would like to recommend this book to all reliability researchers to have a serious look at the material presented in the book and to reliability post graduate engineering students and mathematicians. … would like to congratulate the editor for compiling a voluminous ‘repository of the current and cutting edge computational intelligent techniques in reliability analysis and optimization’." (Krishna B. Misra, International Journal of Performability Engineering, Vol. 4 (3), 2008)