Asian Journal of Research in Social Sciences and Humanities
Year : 2016, Volume : 6, Issue : 8
First page : ( 1039) Last page : ( 1046)
Online ISSN : 2249-7315.
Article DOI : 10.5958/2249-7315.2016.00669.9

Prediction of Diabetes using Adaptive Neuro Fuzzy Inference System (ANFIS)

Dr. Parvathi B. Thanga*, Dr. Shalinie S. Mercy**

*Bannariamman Institute of Technology, Tamilnadu, India

**Thiagarajar College of Engineering, Madurai, Tamil Nadu, India

Online published on 2 August, 2016.

Abstract

In this work a systematic architecture and procedure of Adaptive Neuro Fuzzy Inference System (ANFIS) is presented for data mining classification model to predict the Pima diabetes dataset and compare the model errors with Artificial Neural Network (ANN) model. In the Proposed ANFIS model, an input-output data has been mapped on both fuzzy if-then rules and stipulated input-output data pairs. Then the architecture of ANFIS model is employed and the results are compared. It was found that the proposed ANFIS model outperforms ANN model in terms of prediction accuracy.

Top

Keywords

Data classification, prediction, ANN, ANFIS.

Top