Detection and Prediction of Diabetes Using Simple Fuzzy-Perceptron Learning Network
Author:
Affiliation:
1. Chaoyang University of Technology,Department of Computer Science and Information Engineering,Taichung,Taiwan
Funder
National Science Council
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10042470/10042811/10042896.pdf?arnumber=10042896
Reference16 articles.
1. Rapid Prototyping of Neuro-Fuzzy Inverse Optimal Control as Applied to T1DM Patients;yuliana rios;Proc CICC,2018
2. Non-Proliferative Diabetic Retinopathy Classification Based on Hard Exudates Using Combination of FRCNN, Morphology, and ANFIS
3. Genetic algorithm-based interval type-2 fuzzy model identification for people with type-1 diabetes
4. Adaptive Nonlinear Model Predictive Control algorithm for blood glucose regulation in type 1 diabetic patients
5. Diabetic foot ulcer wound tissue detection and classification
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