Computer Science ›› 2016, Vol. 43 ›› Issue (8): 194-198.doi: 10.11896/j.issn.1002-137X.2016.08.039

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EM Parameter Learning Algorithm of Bayesian Network Based on Cloud Model

CAO Ru-sheng, NI Shi-hong, ZHANG Peng and XI Xian-yang   

  • Online:2018-12-01 Published:2018-12-01

Abstract: The conception of node which has been discrete is fuzzy and random in Bayesian network.To solve this pro-blem,a learning algorithm based on cloud model and EM was proposed.Firstly,the measurable specimen is transformed into qualitative conception through strategy of heuristic gaussian cloud transformation and cloud generator.The conception of certainty is recorded and changed to probability with formula.Then,specimen is expended and the conception is confirmed based on the probability.Finally,parameter is optimized on the basis of EM algorithm.The simulation experimental results show that the effect of parameter learning is more correspond to actual fact after cloud discretization.Precision of parameter learning and accuracy of reasoning are improved.

Key words: Cloud model,Bayesian network,Parameter learning,Discretization

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