Computational Intelligence in Reliability Engineering : New Metaheuristics, Neural and Fuzzy Techniques in Reliability - Gregory Levitin

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Computational Intelligence in Reliability Engineering

New Metaheuristics, Neural and Fuzzy Techniques in Reliability

By: Gregory Levitin (Editor)

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Hardcover | 25 October 2006

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Hardcover
428 Pages

Dimensions(cm)
24.13 x 16.51 x 1.91

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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.

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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) Modeling In Repairable System Modeling
Table of Contents provided by Publisher. All Rights Reserved.

Computational Intelligence in Reliability Engineering

New Metaheuristics, Neural and Fuzzy Techniques in Reliability

At a Glance

Hardcover

Shipping

How to return your order

Defective items

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