Fuzzy inference device using neural network

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395 3, 395900, G06F 944

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active

056300182

ABSTRACT:
A fuzzy inference device determines an inference operational quantity in accordance with inference rules each constituted by an antecedent and a consequent. An inference rule division determiner which receives data of input variables and output variables so as to determine the number of the inference rules. An antecedent neural element obtains a membership value corresponding to an antecedent of a specific inference rule from the divided data of the input variables and the output variables. A situational change processor adaptively determines an inference quantity of a consequent of each inference rule in the case of a change of an initial state or inference situations. An inference operational quantity determiner receives outputs from the antecedent neural element and the situational change processor and performs fuzzy inference in accordance with the inference rules so as to determine the inference operational quantity. An evaluator evaluates, on the basis of an evaluation reference, the inference operational quantity outputted by the inference operational quantity determiner.

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