Predictive Analytics in System Reliability (Hardcover, 1st ed. 2023)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Series in Reliability Engineering
Release date:	September 2022
First published:	2023
Editors:	Vijay Kumar • Hoang Pham
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	282
Edition:	1st ed. 2023
ISBN-13:	978-3-03-105346-7
Categories:	Books > Professional & Technical > Technology: general issues > Engineering: general Books > Business & Economics > Business & management > Management & management techniques > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	3-03-105346-X
Barcode:	9783031053467

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