Bayesian Networks for Reliability Engineering

Éditeur :

Springer

Paru le : 2019-02-28

 This book presents a bibliographical review of the use of Bayesian networks in reliability over the last decade. Bayesian network (BN) is considered to be one of the most powerful models in probabilistic knowledge representation and inference, and it is increasingly used in the field of reliab...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2019-02-28

Pages
257 pages

EAN papier
9789811365157

Baoping Cai is an associate professor at the China University of Petroleum (East China), a visiting researcher of the "Hong Kong Scholar" program at the City University of Hong Kong, and a visiting researcher at the Norwegian University of Science and Technology. He is an associate editor of IEEE Access (SCI journal) and Human-Centric Computing and Information Sciences (SCI journal), an editorial board member of 3 international journals, and a leading guest editor of 1 international journal. His research interests include reliability engineering, fault diagnosis, risk analysis, and Bayesian networks methodology and application. Up to now, he has published 65 SCI-index journal papers, 4 monographs, and holds 37 patents.

Caractéristiques détaillées - droits

EAN PDF
9789811365164
Prix
147,69 €
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
12278 Ko
EAN EPUB
9789811365164
Prix
147,69 €
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
29635 Ko

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