Benefits of Bayesian network models / Philippe Weber, Christophe Simon.
| Author/creator | Weber, Philippe |
| Other author | Simon, Christophe. |
| Format | Electronic |
| Publication Info | London, UK : ISTE ; Hoboken, NJ, USA : Wiley, 2016. |
| Description | xxiii, 114 pages : illustrations ; 24 cm. |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Contents | Introduction -- Bayesian networks -- Bayesian networks: a modeling formalism for system dependability -- Bayesian network: modeling formalism of the structure function of Boolean systems -- Bayesian network: modeling formalism of the structure function of multi-state systems -- Dynamic Bayesian networks -- Dynamic Bayesian networks: integrating environmental and operating constraints in reliability computation -- Dynamic Bayesian networks: integrating reliability computation in the control system -- Conclusion. |
| Abstract | This book explains the principles of knowledge structuration to ensure a valid BN and DBN model and illustrate the flexibility and efficiency of these representations in dependability, risk analysis and control of multi-state systems and dynamic systems. Across five chapters, the authors present several modeling methods and industrial applications are referenced for illustration in real industrial contexts.-- Source other than Library of Congress. |
| Bibliography note | Includes bibliographical references (pages 101-112) and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2016943665 |
| ISBN | 9781848219922 (pbk) |
| ISBN | 184821992X (pbk) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |