Title :
A discussion of network fault diagnosis using Bayesian method
Author :
Zhang Xiao-song ; Guo Lin-hong
Author_Institution :
Dept. of Comput. Sci. & Technol., Tangshan Coll., Tangshan, China
Abstract :
Bayesian Network is one of the most effective theoretical models for uncertainty knowledge expression and reasoning. In the paper, we simply discuss how to diagnose network fault using Bayesian network based on inference algorithm. This paper illustrates the construction of Bayesian network model for system and basic inference model of Bayesian network and instance. This paper raises an instance using inference model and illustrates inference algorithm based on bayesian network and emulation.
Keywords :
belief networks; fault diagnosis; inference mechanisms; Bayesian method; inference algorithm; network fault diagnosis; uncertainty knowledge expression; uncertainty knowledge reasoning; Cognition; Computer architecture; Servers; Bayesian Network; Inference Algorithm; Inference Model; Network Fault Diagnosis;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5619291