Reconstruct the Support Vectors to Improve LSSVM Sparseness for Mill Load Prediction

Table 4

Experimental results on mill load data set.

Algorithms		RMSE	Training times	Testing times
NLSSVM	600		1.1820	0.1080
RCLSSVR	70		4.3930	0.0083
DRCLSSVR	36		5.1670	0.0066
SLSSVM	230		9.2530	0.0265
PLSSVM	130			0.0137
IRRLSSVM	140		17.0970	0.0161