%0 Journal Article
%T Multi-sensor information fusion based on integration of GA-BP network and D-S evidence theory<br>GA-BP网络与D-S证据相结合的多传感器信息融合
%A 胡蓉
%A 谭红斌
%A 冯志宇
%A 李云
%J 重庆邮电大学学报(自然科学版)
%D 2011
%I 
%X As back propagation network and dempster-shafer evidence theory have individual defects in processing uncertain information, a method of multi-sensor information fusion is proposed based on the combination of genetic algorithms optimal BP neural network and D-S evidence theory. The basic probability assignment of D-S evidence theory can be obtained using GA-BP network. moreover, the results of GA-BP network output can be fused by D-S evidence theory. The method is applied to fault diagnosis of high-voltage electric equipment. Simulation shows that the new method can solve the locally optimal problem in single BP neural network training, and get a better recognition result.
%K 遗传算法
%K 反向传播网络
%K D-S证据理论
%K 信息融合
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=96E6E851B5104576C2DD9FC1FBCB69EF&jid=5C2694A2E5629ECD6B59D7B28C6937AD&aid=B8EF504E27B9BD36A2D4966D1BABBB87&yid=9377ED8094509821&vid=EA389574707BDED3&iid=0B39A22176CE99FB&sid=1D67BE204FBF4800&eid=E089FDF3CDAE8561&journal_id=1673-825X&journal_name=重庆邮电大学学报(自然科学版)&referenced_num=0&reference_num=0