Fuzzy rule generation apparatus for neuro circuit network system

Details Fuzzy rule generation apparatus for neuro circuit network system Fuzzy rule generation apparatus for neuro circuit network system

1996-03-19

1998-10-13

Hafiz, Tariq R.

395 24, 395 61, 395900, G06G 700

Patent

active

058224955

ABSTRACT:
An improved fuzzy rule generation apparatus for a neuro circuit network system and a method thereof capable of computing a fuzzy output and minimizing the number of fuzzy rules by automatically adjusting the number of fuzzy rules in accordance with a given problem and using general fuzzy function having a triangle shape or a trapezoid shape using a multi-parameter of a hidden layer and an output layer when computing a fuzzy output, which includes an input layer for receiving a plurality of data; a hidden layer for judging whether a plurality of data inputted thereto through the input layer is within an effective radius of a fuzzy variable and for automatically generating a fuzzy rule to an "n" number using the Gausian function in accordance with a result of the judgement; a parameter block for storing a parameter learned by an error back propagation learning so as to compute a fuzzy rule generated by the hidden layer; and an output layer for computing the last defuzzy operation using a fuzzy rule value generated by the hidden layer and a fuzzy variable value of a parameter block necessary for a defuzzy operation.

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IEEE Trans. Neural Networks, 3 (5) (1992) 752-760; "Neural Networks Designed on Approximate Reasoning . . . ".

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