Mermer Kesme İşleminde Spesifik Enerji Faktörünün ANFIS ve YSA Yöntemleri ile Tahmini.

In this study, effect of the marble cutting parameters on energy consumption was estimated by using Artificial Neural Network and ANFIS. In both of these estimation methods, marble's hardness, speed of circular saw rotation and cutting speed parameters were used as inputs, specific energy factor, cutting energy in per unit volume was taken as output. The data for training networks were taken from a PC based block cutter machine (S/T) with circular diamond saw blade at Afyon Kocatepe University Labs. These data are cutting parameters of "Denizli Travertine" and "Bilecik Beige" type marbles. Some of these data were used for training and then all data were used for testing stage of the networks. To show the effectiveness of the study, estimated data were compared with experimental data. As conclusion, it was reported that estimated data were quite close to experimental result. [ABSTRACT FROM AUTHOR]