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03506nam a22005655i 4500 |
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978-3-540-37372-8 |
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DE-He213 |
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20151204165710.0 |
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100301s2007 gw | s |||| 0|eng d |
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|a 9783540373728
|9 978-3-540-37372-8
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|a 10.1007/978-3-540-37372-8
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|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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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2007.
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| 300 |
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|a XIV, 413 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
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|a online resource
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|a text file
|b PDF
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 40
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|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.
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|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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| 650 |
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|a Engineering.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Applied mathematics.
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| 650 |
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|a Engineering mathematics.
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| 650 |
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|a Computational intelligence.
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| 650 |
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|a Quality control.
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| 650 |
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|a Reliability.
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| 650 |
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|a Industrial safety.
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|a Engineering.
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| 650 |
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|a Appl.Mathematics/Computational Methods of Engineering.
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| 650 |
2 |
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|a Artificial Intelligence (incl. Robotics).
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| 650 |
2 |
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|a Quality Control, Reliability, Safety and Risk.
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| 650 |
2 |
4 |
|a Applications of Mathematics.
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| 650 |
2 |
4 |
|a Computational Intelligence.
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| 700 |
1 |
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|a Levitin, Gregory.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783540373711
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| 830 |
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 40
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-540-37372-8
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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