Adaptive Hybrid Soft-Sensor Model of Grinding Process Based on Regularized Extreme Learning Machine and Least Squares Support Vector Machine Optimized by Golden Sine Harris Hawk Optimization Algorithm

Table 6

Quantitative indicators under different soft-sensor models.

Kernel function	Algorithm	MAE	RMSE	R^2
Linear	CV	0.686	0.7327	0.202
	HHO	0.6861	0.7327	0.2024
	GSHHO	0.6861	0.7327	0.2024
Ploy	CV	0.5368	0.436	0.5763
	HHO	0.5363	0.4348	0.5786
	GSHHO	0.5363	0.4347	0.5787
rbf	CV	0.3642	0.2296	0.7812
	HHO	0.3412	0.2351	0.7731
	GSHHO	0.3453	0.2191	0.79
Sigmoid	CV	0.6469	1.1839	0.3368
	HHO	0.7233	1.4488	0.2213
	GSHHO	0.5841	0.5839	0.4942