%0 Journal Article
%T Research on Bayesian network improved by EM-GA and its application<br>基于EM-GA改进贝叶斯网络的研究及应用*
%A JIN Jun-li
%A ZHAO Chuan
%A YANG Jie
%A <br>金俊丽
%A 赵川
%A 杨洁
%J 计算机应用研究
%D 2010
%I 
%X In order to solve the problem of incomplete data and complex relations among influencing factors which may appear in the software risk analysis, this paper presented a software project risk analysis process based on Bayesian networks which has been improved. Firstly, presented a EM-GA algorithm based on genetic algorithm. Then, used the algorithm to optimize the Bayesian networks structures and solve Bayesian parameter learning. Finally, the experiment results show this algorithm provide a new method for software project risk analysis process.
%K Bayesian networks
%K EM-GA algorithm
%K software project
%K risk analysis<br>贝叶斯网络
%K EM-GA算法
%K 软件项目
%K 风险分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=D875FAFEBCC76CAFF98C8E24D7EA72AD&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=35D8C930A8A0D2C6&eid=6300C37F864D5DEA&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11