The research and application of the self-learning expert system based on BP network

The similarities between the BP network and the rule representation in the uncertain reasoning based on certainty factor are introduced in this paper. According to the disadvantage of the traditional rule representation, a method is presented to train and correct the CF value of the rule and the weight of the proof, which makes the system possess the ability of self-learning. After the method was applied in the cow disease diagnosis expert system, and its performance has been improved.