%0 Journal Article
%T Strategy of Structuring and Learning Based on Multi-Input and Single Output Functional Network<br>基于多输入泛函网络的构造和学习策略
%A CUI Ming-Yi
%A ZHANG Xin-Xiang
%A SU Bai-Yun
%A ZHANG Rui
%A <br>崔明义
%A 张新祥
%A 苏白云
%A 张瑞
%J 计算机科学
%D 2006
%I 
%X Functional network is new network model. It is similar to artificial neural network and is network expression of functional equation. In this paper, a multi-input and single output FN were presented for solving problems in structuring and learning of complex FN. Through the model was analyzed, a new simplifying and learning method was put forward by it. The Simulating experiment was done by it. The result indicates that running of the model is reliable. It is applied to engineering availably and feasibly.
%K MIOFN<br>泛函网络
%K 泛函方程
%K 拓扑结构
%K 学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=562A8EC5F5FB9FBC&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=F3090AE9B60B7ED1&sid=954CE65414DD94CA&eid=73579BC9CFB2D787&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=9