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Computational Intelligence in Reliability Engineering New Metaheuristics, Neural and Fuzzy Techniques in Reliability /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Levitin, Gregory (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Studies in Computational Intelligence, 40
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Computational Intelligence in Reliability Engineering  |h [electronic resource] :  |b New Metaheuristics, Neural and Fuzzy Techniques in Reliability /  |c edited by Gregory Levitin. 
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490 1 |a Studies in Computational Intelligence,  |x 1860-9503 ;  |v 40 
505 0 |a 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. 
520 |a 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. 
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