Gregory Levitin
Springer Berlin Heidelberg
0e druk, 2010
9783642072192
Computational Intelligence in Reliability Engineering
New Metaheuristics, Neural and Fuzzy Techniques in Reliability
Specificaties
Paperback, 413 blz.
|
Engels
Springer Berlin Heidelberg |
2010
ISBN13: 9783642072192
Rubricering
Onderdeel van serie
Studies in Computational Intelligence
Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9783642072192
Taal:Engels
Bindwijze:paperback
Aantal pagina's:413
Uitgever:Springer Berlin Heidelberg
Druk:0
Inhoudsopgave
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.