TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-031-05347-4
DO  - doi
AB  - 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.
T1  - Predictive analytics in system reliability /
AU  - Kumar, Vijay,
AU  - Pham, Hoang,
CN  - HD3023
ID  - 1452955
KW  - Decision making
KW  - Management
KW  - Predictive control.
KW  - Reliability (Engineering)
SN  - 9783031053474
SN  - 3031053478
TI  - Predictive analytics in system reliability /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-05347-4
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-05347-4
ER  -