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

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#IEEE #Industry Summit #ICRC #IRDS #Rebooting Computing #quantum computing #technology #medical engineering #machine learning #algorithm #inference models #fuzzy sets #Mamdani #fuzzy rules #continuous values #data calculation #medical diagnosis #genetic algorithm

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.

https://rebootingcomputing.ieee.org/rebooting-computing-week/industryco…

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.

January 6, 2020

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