E-Book, Englisch, Band 40, 413 Seiten, eBook
Levitin Computational Intelligence in Reliability Engineering
2007
ISBN: 978-3-540-37372-8
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
New Metaheuristics, Neural and Fuzzy Techniques in Reliability
E-Book, Englisch, Band 40, 413 Seiten, eBook
Reihe: Studies in Computational Intelligence
ISBN: 978-3-540-37372-8
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
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.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.
