%0 Journal Article
%T THE QUANTITATIVE ANALYSIS OF STOCHASTIC HOPFIELD NEURAL NETWORK MODEL<br>随机Hopfield神经网络的定量分析
%A Jin Cong
%A <br>金聪
%J 电子与信息学报
%D 2001
%I 
%X In this paper, the effect of input noise on the typical stochastic Hopfield neural network modei is discussed. It is shown that the expectation of the stochastic HNN of the trajectory is uniformly bounded over time. For practical design purposes, the stochastic input error estimates for the stochastic HNN with respect to the corresponding deterministic HNN is derived. In addition, the designer can use these results to constrain the design space so that the achieved design satisnes the performance specifications whenever possible.
%K Stochastic Hopfield neural network
%K Noise
%K Stochastic input error
%K Uniform bounded<br>随机Hopfield网络
%K 噪声
%K 神经网络
%K 定量分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=29CCFCEB38E77772&yid=14E7EF987E4155E6&vid=EA389574707BDED3&iid=94C357A881DFC066&sid=A33A8FD1432A4C3E&eid=D8B37A0210DB6B9D&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=6