DocumentCode :
2662992
Title :
Extended Petri net models for neural networks and fuzzy inference engines-their net structural properties
Author :
Tsuji, Kohkichi ; Matsumoto, Tadashi
Author_Institution :
Dept. of Electr. & Electron. Eng., Fukui Univ., Japan
fYear :
1990
fDate :
1-3 May 1990
Firstpage :
2670
Abstract :
Extended Petri nets are proposed. This extended Petri net, containing the ordinary Petri net as a subclass, can model the vague conditions and can use the ordinary net theoretical technique to analyze the structural properties of the extended Petri net. Using this extended Petri net, the modeling methods of the fuzzy inference engine are derived. The boundedness, liveness, and reachability of this extended Petri net model of the fuzzy inference engines are analyzed and clarified theoretically. The properties of a previously published model and the proposed model are compared
Keywords :
Petri nets; fuzzy logic; inference mechanisms; neural nets; boundedness; extended Petri net; fuzzy inference engines; liveness; net structural properties; neural networks; reachability; vague conditions; Computer networks; Couplings; Discrete event systems; Engines; Explosions; Fuzzy neural networks; Neural networks; Neurons; Petri nets; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/ISCAS.1990.112558
Filename :
112558
Link To Document :
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