Classification on Diabetes Mellitus Data-set Based-on Artificial Neural Networks and ANFIS

In this paper we use artificial neural networks as one of the powerful method in intelligent field for classifying diabetic patients into two classes. For achieving better results, we use genetic algorithm for feature selection. After that, selected features have been applied to different artificial intelligent as our neural network and ANFIS structures. Finally, the simulations of these different methods are compared to each other. In case obtain better performance and results.

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