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Title Nature-inspired computing paradigms in systems : reliability, availability, maintainability, safety and cost (RAMS+C) and prognostics and health management (PHM) / edited by Mohamed Arezki Mellal, Michael G. Pecht.

Publication Info. Amsterdam : Academic Press, 2021.

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Location Call No. OPAC Message Status
 Axe Elsevier ScienceDirect Ebook  Electronic Book    ---  Available
Description 1 online resource (1 volume)
text rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Intelligent data centric systems
Intelligent data centric systems.
Summary Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability. The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence. The primary audience of this book includes experts and developers who want to deepen their understanding of bioinspired computing in basic theory, algorithms, and applications. The book is also intended to be used as a textbook for masters and doctoral students who want to enhance their knowledge and understanding of the role of bioinspired techniques in system dependability. Provides the latest review Covers various nature-inspired techniques applied to RAMS+C and PHM problems Includes techniques applied to new applications.
Subject Natural computation.
Computational intelligence.
Reliability (Engineering)
Computational neuroscience.
Calcul naturel.
Intelligence informatique.
Fiabilité.
Neurosciences informatiques.
Computational intelligence
Computational neuroscience
Natural computation
Reliability (Engineering)
Genre/Form Electronic book.
Added Author Mellal, Mohamed Arezki, editor.
Pecht, Michael G., editor.
Other Form: Print version: 9780128237496
ISBN 0128237503 (ePub ebook)
9780128237502 (electronic bk.)
9780128237496 (pbk.)
Standard No. AU@ 000069611952
AU@ 000069692178
UKMGB 020195411

 
    
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