%0 Journal Article
%T RESEARCH ON THE NEURAL NETWORK ALGORITHM FOR THE DECISION FUSION OF TARGET RECOGNITION<br>目标识别决策层融合神经网络算法研究
%A Li Xiang
%A Fu Yaowen
%A Zhuang Zhaowen
%A Guo Guirong
%A <br>黎湘
%A 付耀文
%A 庄钊文
%A 郭桂蓉
%J 电子与信息学报
%D 2000
%I 
%X In the light of the target recognition based on MMW/IR fusion, a new neural network algorithm for the decision fusion is presented in this paper. The architecture of this network is novel. It is the thresholds, not the conjunction weights, that are modified, when the network is being trained. The mean correct recognition rate after fusion is higher than that of MMW and IR subsources by 9.7% and 11.3% respectively, which indicates this algorithm is effective and feasible.
%K Neural network
%K Decision fusion
%K Target recognition<br>神经网络
%K 决策层融合
%K 目标识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=F773CB882B1D949F&yid=9806D0D4EAA9BED3&vid=BC12EA701C895178&iid=E158A972A605785F&sid=15F713CDE16A589C&eid=A7379F6713A46835&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=4