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An Adaptive Bayesian Network Inference Algorithm for Network Situation Awareness
Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information
The traditional Bayesian network is relatively fixed, the set of nodes, and intensity dependence relationships are rarely change, thus, it is unable to reflect changes in the actual network state. Such an inaccurate network model is also difficult to inference subsequent network. In order to solve the problem of inference is not accurate enough in traditional model, in this paper, the Markov changes of node parameters with time based on Bayesian network is studied. Next, an adaptive inferencedoi:10.2991/icaise.2013.41 fatcat:2bdo7xxw4rdrhj6ryniihtkoja