A GENERALIZED FUZZY PETRI-NET MODEL

被引：112

作者：

PEDRYCZ, W ^{[1
]}

GOMIDE, F ^{[1
]}

机构：

[1] UNIV CAMPINAS,DEPT COMP & AUTOMAT ENGN,SAO PAULO,BRAZIL

来源：

IEEE TRANSACTIONS ON FUZZY SYSTEMS | 1994年 / 2卷 / 04期

关键词：

PETRI NET; LOGIC-BASED NEURONS; FUZZY MODELING; AND; OR; DOMINANCE NEURONS;

D O I：

10.1109/91.324809

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper proposes a new model of Petri nets based on the use of logic based neurons. In contrast to the existing generalizations, this approach is aimed at neural-type modeling of the entire concept with a full exploitation of the learning capabilities of the processing units being used there. The places and transitions of the net are represented by OR and AND-type and DOMINANCE neurons, respectively. A correspondence between this model and the previous two-valued counterpart is also revealed. The learning aspects associated with the nets are investigated.

引用

页码：295 / 301

页数：7

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