On the cooperation of fuzzy neural networks via a coevolutionary approach

Author

Coelho, André L V

Author_Institution

DCA, State Univ. of Campinas, Brazil

Volume

2

fYear

2001

fDate

25-28 July 2001

Firstpage

785

Abstract

This paper describes an effort on the characterization of cooperative fuzzy neural networks (CFNNs). CFNNs encompass any conceptual or architectural aggregate in which two or more fuzzy neural networks (FNNs) work cooperatively for the accomplishment of high-level objectives. In such a context, the behavior of an FNN is influenced, by some means, by the behavior of its peers, and the performance of the whole group should contribute as complementary guidance for the training of the individual FNNs. A coevolutionary approach is presented as an auxiliary mechanism for the design and implementation of CFNNs. Implementation issues are described as a means to attest the applicability of the proposal

Keywords

cooperative systems; evolutionary computation; fuzzy neural nets; learning (artificial intelligence); neural net architecture; applicability; architectural aggregate; auxiliary mechanism; coevolutionary approach; conceptual aggregate; cooperative fuzzy neural networks; high-level objectives; implementation issues; performance; training; Aggregates; Artificial intelligence; Artificial neural networks; Fuzzy logic; Fuzzy neural networks; Fuzzy sets; Hybrid intelligent systems; Neurons; Proposals; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-7078-3

Type

conf

DOI

10.1109/NAFIPS.2001.944703

Filename

944703