计算机工程与应用Issue(15)：220-222,3.DOI:10.3778/j.issn.1002-8331.1209-0297
基于ML-II的小子样复杂系统多源信息融合方法
Method of multiple sources information fusion for complex system with small sample test based on ML-II theory
摘要
Abstract
The main characteristics of reliability information of complex system are small sample field test data and various available multiple sources prior information. For small sample reliability assessment by Bayes theory, in order to do as little as possible field test and obtain reasonable prior distribution, all kinds of prior information must be made full use. The method of multiple sources information fusion for complex system with small sample test based on the Maximum Likelihood esti-mate of the second kind(ML-II)theory is brought forward and a simulation analysis is carried out in allusion to torpedo homing system’s effect distance. The results of simulation show that the fusion method is reasonable and effective.关键词
小子样系统/试验数据融合/第二类极大似然估计/Bayes分析Key words
small sample test/experimental data fusion/Maximum Likelihood estimate of the second kind(ML-II)/Bayes analysis分类
信息技术与安全科学引用本文复制引用
吴琳丽,潘光,黄桥高..基于ML-II的小子样复杂系统多源信息融合方法[J].计算机工程与应用,2014,(15):220-222,3.基金项目
教育部“新世纪优秀人才支持计划”（NCET-09-0074）。 （）
