Clique Tree Propagation Algorithm of Bayesian Network——A Case Study of Parking Behavior Analysis
Fang Zong · Journal of Changchun University · 2012
This paper introduces the basic concepts,inference modes and algorithm of Bayesian network.It focuses on Bayesian network's clique tree propagation algorithm.The programme of the clique tree propagation algorithm is realized by employing the jtree_inf_engine module of Matlab software.By taking parking behavior analysis of Bayesian network as an example,prediction inference,diagnostic inference,causal inference and hybrid inference are carried out.The characteristics of decision-making about parking are summarized according the inference results.Research results indicate that clique tree propagation algorithm can be adopted to infer the unknown variable of the Bayesian network and to examine the relationships among the variables.