%0 Journal Article
%T Analysis and Optimal Design of Nonlinear Continuous Associative Memory Neural Networks<br>非线性连续联想记忆神经网络的分析和优化设计
%A Miao Zhenjiang
%A Yuan Baozong
%A <br>苗振江
%A 袁保宗
%J 自动化学报
%D 1995
%I 
%X Associative memory and optimization are two most important neural network functions. Asymptotically stable equilibria are the only network operating points which can be used to associative memory. In this paper, the asymptotic stability for nonlinear continuous associative memory neural networks is studied. Seyeral important theorems guaranteeing the network's asymptotic stability are derived.These theorems are more general than the existing conclusions to ensure the network's asymptotic stability. On the basis of these theorems, it is discussed how toused these theorems to optimally.design associative memory neural networks. The effectiveness of the optimal design method proposed in this paper is theoretically proved.
%K Neural network
%K associative memory
%K optimal design
%K stability<br>神经网络
%K 联想记忆
%K 优化设计
%K 非线性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=5B0177D2DA30EDA45AB81A81EED48FE5&yid=BBCD5003575B2B5F&vid=659D3B06EBF534A7&iid=38B194292C032A66&sid=CF6CB42CFF3D4C4E&eid=9D9F10A828991FA6&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=8