%0 Journal Article
%T NNF and NNPrF—Fuzzy Petri Nets Based on Neural Network for Knowledge Representation, Reasoning and Learning
%A Zhou Yi
%A Wu ShiLin
%J 计算机科学技术学报
%D 1996
%I 
%X This paper proposes NNF-a fuzzy Petri Net system based on neural network for proposition logic repesentation,and gives the formal definition of NNF.For the NNF model,forward reasoning algorithm,backward reasoning algorithm and knowledge learning algorithm are discussed based on weight training algorithm of neural network-Back Propagation algorithm.Thus NNF is endowed with the ability of learning a rule.The paper concludes with a discussion on extending NNF to predicate logic,forming NNPrF,and proposing the formal definition and a reasoning algorithm of NNPrF.
%K 神经网络
%K 模糊Petri网系统
%K 推理
%K 向前推理
%K 向后推理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=16CBA246425ED72A5A68F82CA1F7024C&yid=8A15F8B0AA0E5323&vid=708DD6B15D2464E8&iid=0B39A22176CE99FB&sid=76B5E24D6EC46B4B&eid=EB552E4CFC85690B&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=1&reference_num=4