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HIGHER-ORDER PETRI NET MODELS BASED ON ARTIFICIAL NEURAL NETWORKS
引用本文:李金艳,陆以勤,余英林,周伟诚. HIGHER-ORDER PETRI NET MODELS BASED ON ARTIFICIAL NEURAL NETWORKS[J]. 华南理工大学学报(自然科学版), 1997, 0(9)
作者姓名:李金艳  陆以勤  余英林  周伟诚
作者单位:华南理工大学无线电与自动控制研究所 香港城市大学电子工程系
基金项目:攀登计划“神经网络理论与模型”项目基金
摘    要:提出了一种新型Petri网———高阶Petri网,这种网可以应用于一阶谓词逻辑中的多项式子句集问题;还研究了目标转移结点T-不变量之间的关系,最后给出了几个例子。

关 键 词:高阶Petri网  可引发性  目标转移  多项式子句集  T-不变量

HIGHER-ORDER PETRI NET MODELS BASED ON ARTIFICIAL NEURAL NETWORKS
Li Jinyan Lu Yiqin Yu Yinglin Chow T.W.S.. HIGHER-ORDER PETRI NET MODELS BASED ON ARTIFICIAL NEURAL NETWORKS[J]. Journal of South China University of Technology(Natural Science Edition), 1997, 0(9)
Authors:Li Jinyan Lu Yiqin Yu Yinglin Chow T.W.S.
Affiliation:Li Jinyan Lu Yiqin Yu Yinglin Chow T.W.S. **
Abstract:In this paper,we propose a new class of Petri nets,higher-order Petri nets (HOPN's),which can be applied to polynomial clause subset of first-order predicate logic.The relationship between the potential firability of the goal transition and T-invariant (HOPN's) has been discussed.A theorem and its proof about this relationship are given,followed by an illustration.
Keywords:HOPN  potential firability  goal transition  polynomial clause subset  T-invariant
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