Neural network for fuzzy reasoning

Details Neural network for fuzzy reasoning Neural network for fuzzy reasoning

1993-08-30

1995-05-16

Knepper, David D.

395 24, 395900, G06F 944, G05B 1300

Patent

active

054168880

ABSTRACT:
A multi-layered type neural network for a fuzzy reasoning in which an if-part of a fuzzy rule is expressed by a membership function and a then-part of the fuzzy rule is expressed by a linear expression, the network comprising an if-part neural network for receiving if-part variables of all the fuzzy rules and calculating if-part membership values of all the fuzzy rules, an intermediate neural network for calculating, as a truth value of the premise of each fuzzy rule, a product of the if-part membership values for all the if-part variables, and a then-part neural network for calculating a first sum of the truth values of the premise of all the fuzzy rules, a second sum of a product of the truth values of the premise of all the fuzzy rules and then-part outputs of all the fuzzy rules, and dividing the second sum by the first sum to obtain a quotient as an inferential result.

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International Workshop on Fuzzy System Applications; Tatsumi Furuya, Akio Kokubu, and Takeshi Sakamoto; Aug. 1988; "NFS: Neuro Fuzzy Inference System".

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