Title :
Neurofuzzy inference system for stage classified of diabetes
Author :
Gupta, Neeraj K. ; Tyagi, Neeraj
Author_Institution :
Dept. of Electr. & Electron. Eng., Krishna Inst. of Eng. & Tech., Ghaziabad, India
Abstract :
In this paper, adaptive neurofuzzy inference system(ANFIS) approaches for automatically classified the diabetes is presented. ANFIS, used fuzzy logic expert system for decision making ability and neural network learning approach of backpropagation algorithm. Simulated result shows, the proposed work is effectively working with accuracy to classified the diabetes of reducing error rate with .0524.
Keywords :
backpropagation; diseases; fuzzy logic; fuzzy neural nets; fuzzy set theory; inference mechanisms; medical diagnostic computing; ANFIS; adaptive neurofuzzy inference system; backpropagation algorithm; decision making; diabetes; fuzzy logic expert system; neural network learning approach; Conferences; Decision support systems; Handheld computers; Adaptive Neuro Fuzzy Inference System (ANFIS); Backpropagation; Diabetes; Fuzzy Logic;
Conference_Titel :
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location :
Gurgaon
Print_ISBN :
978-1-4799-2571-1
DOI :
10.1109/IAdCC.2014.6779509
