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Titolo:
Analyses of equilibrium by fuzzy connection networks related to max-min fuzzy Hopfield networks
Autore:
Liu, PY;
Indirizzi:
Natl Univ Def Technol, Dept Syst Engn & Math, Changsha 410073, Hunan, Peoples R China Natl Univ Def Technol Changsha Hunan Peoples R China 410073 oples R China
Titolo Testata:
FUZZY SETS AND SYSTEMS
fascicolo: 2, volume: 119, anno: 2001,
pagine: 303 - 311
SICI:
0165-0114(20010416)119:2<303:AOEBFC>2.0.ZU;2-S
Fonte:
ISI
Lingua:
ENG
Soggetto:
NEURAL NETWORKS; RELATIONAL EQUATIONS; ASSOCIATIVE MEMORY; STORAGE CAPACITY;
Keywords:
fuzzy connection network; attractor; elementary memory; attractive cycle; attractive neighborhood;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
18
Recensione:
Indirizzi per estratti:
Indirizzo: Liu, PY Natl Univ Def Technol, Dept Syst Engn & Math, Changsha 410073, Hunan, Peoples R China Natl Univ Def Technol Changsha Hunan Peoples R China 410073 China
Citazione:
P.Y. Liu, "Analyses of equilibrium by fuzzy connection networks related to max-min fuzzy Hopfield networks", FUZ SET SYS, 119(2), 2001, pp. 303-311

Abstract

In the paper, the fuzzy connection networks related to max-min fuzzy Hopfield networks are introduced to analyze the attractors and attractive cyclesof the max-min networks. The elementary memories are employed to improve fault-tolerance of the networks. Some sufficient and necessary conditions that an attractor is the elementary memory of the networks are shown. Homomorphism operators on [0.1]" are utilized to study the transitive trajectoriesof the states, attractors and attractive cycles of max-min Hopfield networks. By the conclusions obtained here, a novel way for designing fuzzy neural networks with better fault-tolerance may be constructed. (C) 2001 Elsevier Science B.V. All rights reserved.

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Documento generato il 07/07/20 alle ore 21:16:24