Adaptability Learning for Bayesian Network
Cuiping Leng · Journal of Chinese Computer Systems · 2009
With further understanding to the domanial problems,it is often necessary to regulate the Bayesian network to meet the demand.But in the regulated Bayesian network the new parameters need to be computed according to the old Bayesian network.At present,however,lack the research of the methods of learning new parameters.In this paper,Bayesian network structure is regulated based on experts knowledge.The old Bayesian network is combined with the new one to ascertain the new parameters through reasoning.The adaptability learning of Bayesian network can be realized by above method.