The process of cutting stone is an abrasion process, so that cutting stone with the help of diamond pieces can be considered as the wear of particles forming a rock by passing diamond grains on the surface of the stone. To better understand this process and the conditions governing the diamond grain being cut, it is necessary to know the cutting mechanism and the parameters affecting it. Todays, diamond wire saw methods is used for cutting and shaping dimension stones in quarries and processing plants. Physical, mechanical and strength characteristics of rocks, structural and environmental conditions, operational and tools properties and administrative characteristics are among parameters that can affect sawability, production rate, power consumption, and wear rate of diamond beads. In this study, granite data were used to estimate the consumption of diamond wire saw segment. To do this, two methods SVR and GA_MLP are used using toolboxes in MATLAB program to estimate segment wear. In each of the above patterns, a lowpass smoothing filter called Savitzky_Golay is applied to the data. Used. A total of 12 models were constructed and estimation work was performed for granite. At the and, the accuracy of the above models was evaluated using coefficient of determination (R2), mean square error (MSE), root mean square error (RMSE), mean absolute error (MAD), mean absolute error percentage (MAPE) and arithmetic variance (VFA) were examined. According to the obtained results, it was observed that the SVR method together with the filter estimates better results.