%0 Journal Article
%T A NEW METHOD FOR EIGENSTRUCTURE EXTRACTION AND ITS NEURAL NETWORK IMPLEMENTATION<br>一种新的特征结构提取方法及其神经网络实现
%A Yu Shuijun
%A Liang Diannong
%A <br>虞水俊
%A 梁甸农
%J 电子与信息学报
%D 1996
%I 
%X The cost function for eigenstuctures extration is discussed in detail, one can obtain the largest eigenvector by minimizing the cost function. In order to obtain the other eigenvectors, a covariance matrix series is constructed. If one compares the cost function with the energy function of a neural network, the neural network can be introduced to extract the eigenvectors. Theoretical analysis and simulations show that the proposed method is reasonable and feasible.
%K Eigenstructure
%K Cost function
%K Neural networks<br>特征结构
%K 代价函数
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=C8D5B517011C7E00CF5BEBFF3796A4A7&yid=8A15F8B0AA0E5323&vid=13553B2D12F347E8&iid=0B39A22176CE99FB&sid=CDEBD1ACE0A4C1C1&eid=6FBD78E3BAB60869&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=7