贝叶斯网络拓扑结构确定方法的研究

Study of Determining Bayesian Network Topology Structures

贝叶斯方法是概率统计学中一种很重要的方法 ,贝叶斯网络是一种将贝叶斯概率方法和有向无环图的网络拓扑结构有机结合的表示模型 ,描述了数据项及其依赖关系 ,并根据各个变量之间概率关系建立的图论模型 ,但是如何获取它的网络拓扑结构是一个需要解决的问题 ,本文提出一种如何寻找最有可能的贝叶斯网络模型方法 。

Bayesian approach is an important method in statistics. A Bayesian network is a graphics model that encodes probabilistic relationships among variables of interest. But it is difficulty to determine its topology structure. In this paper, we use an approach for obtaining Bayesian network structure. Finally the method is used to test database and the result demonstrates the method is effective.