This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques.

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This book provides engineers and researchers knowledge to help them in system reliability analysis using machine learning, artificial intelligence, big data, genetic algorithm, information theory, multi-criteria decision making, and other techniques. It will also be useful to students learning reliability engineering.

The book brings readers up to date with how system reliability relates to the latest techniques of AI, big data, genetic algorithm, information theory, and multi-criteria decision making and points toward future developments in the subject.

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Describes how system reliability is being influenced by AI, big data, genetic algorithms, information theory Brings readers up to date with the latest knowledge on system reliability It is a guide for graduate students, researchers, and professors in reliability
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Product details

ISBN
9783031053467
Published
2022-09-09
Publisher
Springer International Publishing AG
Height
235 mm
Width
155 mm
Age
Research, P, 06
Language
Product language
Engelsk
Format
Product format
Innbundet
Number of pages
11