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Fuzzy Neuroidal Nets and Recurrent Fuzzy Computations

SYSNO ASEP	0404508
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve SCOPUS
Title	Fuzzy Neuroidal Nets and Recurrent Fuzzy Computations
Author(s)	Wiedermann, Jiří (UIVT-O)_{RID, SAI, ORCID}
Source Title	Neural Network World. - : Ústav informatiky AV ČR, v. v. i. - ISSN 1210-0552 Roč. 11, č. 6 (2001), s. 675-686
Number of pages	12 s.
Action	SOFSEM 2001 Workshop on Soft Computing
Event date	29.11.2001-30.11.2001
VEvent location	Piešťany
Country	SK - Slovakia
Language	eng - English
Country	CZ - Czech Republic
Keywords	fuzzy computing ; fuzzy neural nets ; fuzzy Turing machines ; non-uniform computational complexity
Subject RIV	BA - General Mathematics
R&D Projects	GA201/00/1489 GA ČR - Czech Science Foundation (CSF)
	KSK1019101 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
CEZ	1030915
EID SCOPUS	0035714976
Annotation	We define fuzzy neuroidal nets in a way that enables to relate their computations to computations of fuzzy Turing machines. Namely, we show that the polynomially space-bounded computations of fuzzy Turing machines with a polynomial advice function are equivalent to the computations of a polynomially-sized family of fuzzy neuroidal nets. The same holds for fuzzy neural nets which are a special case of fuzzy neuroidal nets.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2002

Number of the records: 1