| 書(shū)目名稱 | Predictive Analytics in System Reliability | | 編輯 | Vijay Kumar,Hoang Pham | | 視頻video | http://file.papertrans.cn/755/754571/754571.mp4 | | 概述 | 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 | | 叢書(shū)名稱 | Springer Series in Reliability Engineering | | 圖書(shū)封面 |  | | 描述 | .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.. | | 出版日期 | Book 2023 | | 關(guān)鍵詞 | Software Reliability; Reliability Optimization; Reliability Modelling; Life Cycle Management; Assurance | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-05347-4 | | isbn_softcover | 978-3-031-05349-8 | | isbn_ebook | 978-3-031-05347-4Series ISSN 1614-7839 Series E-ISSN 2196-999X | | issn_series | 1614-7839 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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