%0 Journal Article
%T Adaptive fuzzy Petri nets and its application<br>一种自适应模糊Petri网及其应用*
%A LIU Xin
%A YIN Gui-sheng
%A ZHANG Leib
%A <br>刘心
%A 印桂生
%A 张磊b
%J 计算机应用研究
%D 2009
%I 
%X Fuzzy Petri nets(FPN) is a powerful modeling tool for knowledge-based systems based on fuzzy production rules, but it lacks of strong learning ability. Based on the FPN, imported the artificial neural networks, this paper presented an adaptive fuzzy Petri nets(AFPN) model. So introduced the back propagation algorithm of neural networks into FPN. The AFPN has powerful reasoning ability and adaptive ability. It has important significance to build, update and maintenance the knowledge systems.
%K adaptive
%K fuzzy
%K Petri nets
%K artificial neural networks
%K back propagation
%K learning<br>自适应
%K 模糊
%K Petri网
%K 人工神经网络
%K 反向传播
%K 学习
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=D4BD5A1193D3575682D1BDCBB911CCC7&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=8A46A6ADDBE76D56&eid=61C6E0F9953057F9&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=11