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

Table 1

Compare the performance, among these algorithms; NLSSVM with 100 data points, the others with 15 #SV.

Data set	Synthetic data set one	Synthetic data set two	Synthetic data set three
NLSSVM	0.0174	0.0049	0.0558
RCLSSVM	0.0183	0.0048	0.0548
SLSSVM	10.4719	0.0752	1.3758
PLSSVM	0.0162	0.0038	0.0596
IRRLSSVM	0.0564	0.0088	0.0626