%0 Journal Article
%T BP Neural Network Trained by Strong Tracking Filter and It''s Application Investigation on System Identification<br>基于强跟踪滤波器训练的前向神经网络及其在系统辨识中的应用研究*
%A ZHAO Qi
%A LIU Kai-di
%A PANG Yan-jun
%A <br>赵奇
%A 刘开第
%A 庞彦军
%J 计算机应用研究
%D 2005
%I 
%X A new kind of training method of BP neural network is given,which is based on strong tracking filter.For the reason of forcing the remains orthogonality, it converges rapidly and the precision is higher compared with the Extended Kalman Filter(EKF). At last, an identification model example is given to show the effectiveness of the method.
%K Strong Tracking Filter
%K BP Neural Network
%K System Identification<br>强跟踪滤波器
%K 前向神经网
%K 系统辨识
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1C38E54EB17FF8E3D693E75141D4EECC&yid=2DD7160C83D0ACED&vid=BC12EA701C895178&iid=5D311CA918CA9A03&sid=08805F9252973BA4&eid=39EEF47180459690&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=0