%0 Journal Article
%T LOGICAL ANALYSIS FOR NEURAL NETWORKS<br>神经网络的逻辑分析
%A Guo Baolong
%A Guo Lei
%A <br>郭宝龙
%A 郭雷
%J 电子与信息学报
%D 1997
%I 
%X By comparison with constraint satisfaction networks, this paper presents an essential frame of the logical theory for continuous-state neural networks, and gives the quantitative analyzing method for contradiction. The analysis indicates that the basic reason for the alternation of the logical states of the neurons is the existence of superior contradiction inside the networks. The dynamic process for a neural network to find a solution corresponds to eliminating the superior contradiction.
%K Neural networks
%K Constraint satisfaction networks
%K Inference
%K Contradiction analysis<br>神经网络
%K 约束满足网络
%K 推理
%K 矛盾分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=238F07676079C1DD0230DF412823236F&yid=5370399DC954B911&vid=2A8D03AD8076A2E3&iid=CA4FD0336C81A37A&sid=708DD6B15D2464E8&eid=7801E6FC5AE9020C&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=7