Research on sheep disease diagnostic expert system based on subjective Bayes algorithm with self-learning
LI Shu-hongb · Journal of Hunan University of Science & Technology · 2009
The diagnosis majority of systems which based on the tradition of expert system technology perform reasoning only by historical knowledge,lack of ability to learn,which contributing to lowefficiency of knowledge studying,the low accuracy of conclusion. This study taking example of sheep Disease diagnosis,constructed Bayes reasoning supporting learning by self,designed the architecture of expert system,. Experimental results showed:model of Bayes supporting learning by self reasoning scheme enables to improve the utilization rate of knowledge, successfully improve the accuracy of diagnosis,increase the intelligence of learning ,harvest a good Experimental effect. 1fig.,2tabs.,8refs.