本文致力于贝叶斯网络的理论和算法的研究,全文研究了如下几个问题:1。贝叶斯网络和数据挖掘的结合。
In this dissertation I dedicate to the research of Bayesian Network's theory and algorithms. The entire thesis can be divided into three parts. 1. Bayesian Networks and Data Mining combine.
为了分析匹配于进化种群的贝叶斯网络结构,给出了用于刻画局部贝叶斯网络度量的有关表示。
To analyze the structure of Bayesian networks to match the evolutionary population, this paper introduces some definitions of the local Bayesian network's metric.
但贝叶斯网络的抗噪声能力却明显逊色于神经网络。
But Bayesian network's noise-resistant ability is inferior to ANN more or less.
但贝叶斯网络的抗噪声能力却明显逊色于神经网络。
But Bayesian network's noise-resistant ability is inferior to ANN more or less.
应用推荐