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Reliability Engineering and Computational Intelligence

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Release : 2021-08-06
Genre : Technology & Engineering
Kind : eBook
Book Rating : 562/5 ( reviews)

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Book Synopsis Reliability Engineering and Computational Intelligence by : Coen van Gulijk

Download or read book Reliability Engineering and Computational Intelligence written by Coen van Gulijk. This book was released on 2021-08-06. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence is rapidly becoming an essential part of reliability engineering. This book offers a wide spectrum of viewpoints on the merger of technologies. Leading scientists share their insights and progress on reliability engineering techniques, suitable mathematical methods, and practical applications. Thought-provoking ideas are embedded in a solid scientific basis that contribute to the development the emerging field. This book is for anyone working on the most fundamental paradigm-shift in resilience engineering in decades. Scientists benefit from this book by gaining insight in the latest in the merger of reliability engineering and computational intelligence. Businesses and (IT) suppliers can find inspiration for the future, and reliability engineers can use the book to move closer to the cutting edge of technology.

Computational Intelligence in Reliability Engineering

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Release : 2006-12-13
Genre : Technology & Engineering
Kind : eBook
Book Rating : 683/5 ( reviews)

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Book Synopsis Computational Intelligence in Reliability Engineering by : Gregory Levitin

Download or read book Computational Intelligence in Reliability Engineering written by Gregory Levitin. This book was released on 2006-12-13. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the recent applications of computational intelligence techniques in reliability engineering. This volume contains a survey of the contributions made to the optimal reliability design literature in recent years. It also contains chapters devoted to different applications of a genetic algorithm in reliability engineering and to combinations of this algorithm with other computational intelligence techniques.

Computational Intelligence in Reliability Engineering

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Author :
Release : 2007-01-10
Genre : Technology & Engineering
Kind : eBook
Book Rating : 721/5 ( reviews)

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Book Synopsis Computational Intelligence in Reliability Engineering by : Gregory Levitin

Download or read book Computational Intelligence in Reliability Engineering written by Gregory Levitin. This book was released on 2007-01-10. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Computational Intelligence in Reliability Engineering

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Author :
Release : 2007
Genre : Computational intelligence
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Computational Intelligence in Reliability Engineering by :

Download or read book Computational Intelligence in Reliability Engineering written by . This book was released on 2007. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Intelligence in Software Quality Assurance

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Author :
Release : 2005
Genre : Technology & Engineering
Kind : eBook
Book Rating : 722/5 ( reviews)

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Book Synopsis Computational Intelligence in Software Quality Assurance by : Scott Dick

Download or read book Computational Intelligence in Software Quality Assurance written by Scott Dick. This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: Software systems surround us. Software is a critical component in everything from the family car through electrical power] systems to military equipment. As software ploys an ever-increasing role in our lives and livelihoods, the quality of that software becomes more and more critical. However, our ability to deliver high-quality software has not kept up with those increasing demands. The economic fallout is enormous; the US economy alone is losing over US$50 billion per year due to software failures. This book presents new research into using advanced artificial intelligence techniques to guide software quality improvements. The techniques of chaos theory and data mining arc brought to bear to provide new insights into the software development process. Written for researchers and practitioners in software engineering and computational intelligence, this book is a unique and important bridge between these two fields.

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