Learning Method of the SIC Fuzzy Inference Model - Genki Ohashi - ICRC San Mateo, 2019

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Genki Ohashi, Osaka University, reviews collaborative research using Consequent Fuzzy Sets in a Learning Algorithm with application in medical diagnosis. The group proposes to use the steepest descent method, and Ohashi details how the inference model can work to achieve better results with greater efficiency.

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  • January 6, 2020

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