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Více informací o knize Computational Intelligence in Reliability Engineering

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Anotace knihy

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.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.

Parametry knihy

Zařazení knihy Knihy v angličtině Technology, engineering, agriculture Mechanical engineering & materials Production engineering

• Plný název: Computational Intelligence in Reliability Engineering
• Podnázev: New Metaheuristics, Neural and Fuzzy Techniques in Reliability
• Autor: Gregory Levitin
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 413
• EAN: 9783642072192
• ISBN: 3642072194
• ID: 01652383
• Nakladatelství: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Hmotnost: 652 g
• Rozměry: 235 × 155 × 22 mm
• Datum vydání: 02. November 2010

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