Investigation of the Effect of Normalization Methods on ANFIS Success: Forestfire and Diabets Datasets

Machine learning and artificial intelligence techniques are more in our lives studies this field increasing day by day. Data is vital for these studies. In order to draw meaningful conclusions from the available data, new methods proposed successful results obtained. The preparation of obtained data very important be carried out. preprocessing data. most critical stage process scaling or normalization libraries such as scikit-learn programming languages R provide necessary scale However, it not known exactly which method will applied yield results. success has been investigated on many different methods, but a study done adaptive neural fuzzy inference system (ANFIS). aim examine ANFIS terms both classification regression problems. So, using Anfis method, guidance provided give better stage. Four library were Diabets Forestfire datasets UCI database. presented separately regression. It determined that min-max problems working with original successful.