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Selection of fuzzy if-then rules by a genetic method

✍ Scribed by Hisao Ishibuchi; Ken Nozaki; Naohisa Yamamoto; Hideo Tanaka

Book ID
112079672
Publisher
John Wiley and Sons
Year
1994
Tongue
English
Weight
744 KB
Volume
77
Category
Article
ISSN
1042-0967

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In this paper a new artiΓΏcial neural network based fuzzy inference system (ANNBFIS) has been described. The novelty of the system consists in the moving fuzzy consequent in if-then rules. The location of this fuzzy set is determined by a linear combination of system inputs. This system also automati