%0 Journal Article
%T DISTRIBUTED PARAMETER NEURAL NETWORKS FOR SOLVING PARTIAL DIFFERENTIAL EQUATIONS
分布参数神经网络与偏微分方程求解
%A Feng Dazheng
%A Bao Zheng
%A Jiao Licheng
%A
冯大政
%A 保铮
%A 焦李成
%J 电子与信息学报
%D 1996
%I
%X Novel distributed parameter neural networks are proposed for solving partial differential equations, and their dynamic performances are studied in Hilbert space. The locally connected neural networks are obtained by separating distributed parameter neural networks. Two simulations are also given. Both theoretical and practical results illustrate that the distributed parameter neural networks are effective and efficient for solving partial differential equation problems.
%K Distributed parameter neural network
%K Partial differential equation
%K Stability
%K Local connection
分布参数神经网络
%K 偏微分方程
%K 稳定性
%K 局域联接
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=4ED37BAD2B5B8880854147ECB5A84045&yid=8A15F8B0AA0E5323&vid=13553B2D12F347E8&iid=94C357A881DFC066&sid=B34BDD6A690A04C0&eid=E5D85F291CED2DA6&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=8