贝叶网在农业专家系统中的研究与应用

针对基于贝叶斯网建立农业专家系统所涉及的关键问题,在模型构建方面,手工构建是必要的,其中采用＂分离技术＂、＂局部结构＂机制和转换现有的确定性因子知识库等技术简化贝叶斯网的构造,使得基于贝叶斯网的农业专家系统获得了较好的效果,利用切集条件化（cutset conditioning）算法实现精确推理。创建了基于贝叶斯网的涮辣专家系统,系统运行结果表明,采用贝叶斯网来表示与处理农业中的不确定性知识是比较有效的。

The Bayesian Network in the Agricultural Experts System of Study and Application

Based on the Bayesian network establish an expert system arising from the question,this is the key to Bayesian network build,hand to build is necessary,use "separate technology"and"local structures" and transform existing deterministic knowledge factor for simplified Bayesian network would build,and Bayesian network applied to agricultural experts to receive a very good results,Cut set of conditions of(cutset conditioning)algorithms accurate inferences.And created based on the Bayesian network Shuan chillies expert systems,the system used to run the results indicate that rather Bayesian network to deal with agriculture and the uncertainty of the knowledge is more efficient.