{
"item_title" : "Predictive Analytics in System Reliability",
"item_author" : [" Vijay Kumar", "Hoang Pham "],
"item_description" : "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.",
"item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/105/346/303105346X_b.jpg",
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Overview
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 item is Non-Returnable
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Details
- ISBN-13: 9783031053467
- ISBN-10: 303105346X
- Publisher: Springer
- Publish Date: September 2022
- Dimensions: 9.21 x 6.14 x 0.69 inches
- Shipping Weight: 1.3 pounds
- Page Count: 282
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