Abstract:
This study proposes on the prediction and classification of Diabetes Mellitus using Artificial Neural Network (ANN) and hybrid Adaptive Neuro-Fuzzy Inference System (ANFI...Show MoreMetadata
Abstract:
This study proposes on the prediction and classification of Diabetes Mellitus using Artificial Neural Network (ANN) and hybrid Adaptive Neuro-Fuzzy Inference System (ANFIS). The network was trained by using the data of 100 individuals with mean age of 42 years with an equal proportion of male and female. The performance of each approach is further discussed on the basis of accuracy and validates accurate prediction. Our research reveals that the ANFIS approach is more acceptable as compared to the ANN approach on the basis of accuracy.
Published in: 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)
Date of Conference: 03-05 March 2016
Date Added to IEEE Xplore: 24 November 2016
ISBN Information: