IMPLEMENTATIONOF INFERENCEENGINEIN ADAPTIVE NEURO FUZZY INFERENCE SYSTEM TO PREDICT AND CONTROL THE SUGAR LEVEL IN DIABETIC PATIENT

Abstract

The Adaptive network based fuzzy inference system (ANFIS) is a hybrid system comprising of the neural network and
the fuzzy logic. It is a data driven procedure which can be used to provide the solution of function approximation
problems in a neural network platform. Here at first a fuzzy inference system comprising of an initial fuzzy model is formed,
based on the fuzzy rules extracted from the input output data set. Selection of the proper rule base depending upon the
situation can be achieved by the use of an ANFIS controller, which becomes an integrated method of approach for the
control purposes and yields excellent results, which is the highlight of this paper.