Prediction of Flank Wear during Turning of EN8 Steel with Cutting Force Signals Using a Deep Learning Approach

Table 3

Prediction accuracy of different membership functions.

S. no.	Membership function-ANFIS structure	Optimization method	Training error (mm)	Testing error (mm)
1	Gauss MF	BPNN	0.18915	1.9795
2	Gauss MF	Hybrid	0.000134	0.0704
3	TRAF MF	Hybrid	0.000966	0.0849
4	Gauss 2MF	Hybrid	0.000164	0.0783
5	PRINMF	Hybrid	0.000166	0.0788
6	DSIGMF	Hybrid	0.000165	0.0784
7	PSIGMF	Hybrid	0.000407	0.0783
8	Subtractive clustering	Hybrid	0.002239	0.0929