%0 Journal Article
%T STABILITY ANALYSIS OF BRAIN-STATE-IN-A-BOX NEURAL NETWORKS<br>盒中脑神经网络的稳定性分析
%A Jin Cong
%A <br>金聪
%J 电子与信息学报
%D 2000
%I 
%X This paper presents a novel asymptotical stability analysis of the equilibrium points in the unit hypercube for the Brain-State-in-a-Box neural model. Some sufficient conditions for the asymptotical stability of equilibrium points are derived using Ostrowski's theorem and the similarity transformation approach. Simulation examples are given to illustrate the effectiveness of new analysis method.
%K Neural networks
%K Brain-State-in-a-Box
%K Asymptotic stability<br>神经网络
%K 盒中脑
%K 渐近稳定性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=1C125215873293C5&yid=9806D0D4EAA9BED3&vid=BC12EA701C895178&iid=B31275AF3241DB2D&sid=32491EEEE0A8C927&eid=88B4027FEBE4F5FF&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=7