Predictive Analytics in System Reliability
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Beschreibung
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.
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.
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
Autor*in
Vijay Kumar
Themen in »Predictive Analytics in System Reliability«
Software Reliability Reliability Optimization Reliability Modelling Life Cycle Management Assurance Management