%0 Journal Article
%T STUDIES OF DYNAMIC BEHAVIORS OF A LEARNING ASSOCIATIVE NEURAL NETWORKS<br>一类学习联想神经网络的动态特性研究
%A Zeng Huanglin
%A <br>曾黄麟
%J 电子与信息学报
%D 1994
%I 
%X The exponential stability and trajectory bounds of the motions of equilibria of an associative neural network under structural variations while learning a new pattern are investigated. The filtering ability of the associative neural network whose input is contaminated by noise is analysed. The obtained results are expected to instruction for further studies of the learning associative neural networks.
%K Associative neural networks
%K Learning algorithms
%K Dynamic behaviors
%K Structure exponential stability<br>联想神经网络
%K 学习算法
%K 动态特性
%K 结构指数稳定性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=A4487C2BDCA9099AC4CEE17CB969D31B&yid=3EBE383EEA0A6494&vid=7801E6FC5AE9020C&iid=CA4FD0336C81A37A&sid=CA4FD0336C81A37A&eid=DF92D298D3FF1E6E&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=13