Por favor, use este identificador para citar o enlazar este ítem:
http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/989| Comparison of two types of event Bayesian networks: a case study | |
| GUSTAVO ARROYO FIGUEROA LUIS ENRIQUE SUCAR SUCCAR | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| Bayesian networks Temporal reasoning Fault diagnosis and prediction Evaluation Case study | |
| Temporal Nodes Bayesian Networks (TNBNs) and Networks of Probabilistic Events in Discrete Time (NPEDTs) are two different types of Event Bayesian Networks (EBNs). Both are based on the representation of uncertain events, alternatively to Dynamic Bayesian Networks, which deal with real-world dynamic properties. In a previous work, Arroyo-Figueroa and Sucar applied TNBNs to the diagnosis and prediction of the temporal faults that may occur in the steam generator of a fossil power plant. We present an NPEDT for the same domain, along with a comparative evaluation of the two networks. We examine different methods suggested in the literature for the evaluation of Bayesian networks, analyze their limitations when applied to this temporal domain, and suggest a new evaluation method appropriate for EBNs. In general, the results show that, in this domain, NPEDTs perform better than TNBNs, possibly due to be the finer time granularity used in the NPEDT. | |
| Applied Artificial Intelligence | |
| 2007 | |
| Artículo | |
| Inglés | |
| Estudiantes Investigadores Público en general | |
| Galán, S.F., et al., (2007). Comparison of two types of event Bayesian networks: a case study, Applied Artificial Intelligence, 21(3):185-209 | |
| CIENCIA DE LOS ORDENADORES | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Artículos de Ciencias Computacionales |
Cargar archivos:
| Fichero | Tamaño | Formato | |
|---|---|---|---|
| 9_Comparison_of_two_types.pdf | 306.84 kB | Adobe PDF | Visualizar/Abrir |