Research Article

Robust Matching Pursuit Extreme Learning Machines

Table 5

Training and testing RMSEs for different data sets.

Data sets ELMRELMOMP-ELMORELMELM-RCCKRSLMP-ELM
TrainingTestingTrainingTestingTrainingTestingTrainingTestingTrainingTestingTrainingTesting
RMSERMSERMSERMSERMSERMSERMSERMSERMSERMSERMSERMSE

Servo0.07450.11890.05830.10440.07270.11340.08490.10360.07490.10340.08410.1017
0.01330.02280.01050.01890.01230.01810.01740.02110.01170.01710.01150.0176
Auto MPG0.06890.07850.06270.07650.06760.07770.07050.07640.06830.07570.06320.0749
0.00490.00530.00440.00430.00440.00450.00470.00520.00420.00450.00430.0045
Body fat0.02370.03400.01960.02780.02180.03130.02530.02330.02400.02360.02520.0239
0.00730.00600.00760.00620.00760.00590.01180.01190.00930.00870.00970.0095
Concrete0.06150.10010.07320.09250.06540.09810.06680.09290.05570.08820.05420.0864
0.00250.01250.00220.00410.00260.01010.00260.00690.00180.00770.00180.0067
Housing0.07360.09900.04430.08970.06440.09350.05760.08990.04530.08740.05030.0849
0.00530.00940.00410.01360.00480.01080.00610.01600.00390.01290.00400.0114
Yacht0.00410.05830.03000.04830.01540.04370.01890.03730.01260.03200.00600.0250
0.00040.13740.00020.00640.00140.01340.00130.00730.00080.00630.00050.0099
Airfoil0.06640.09670.09250.09910.07310.09680.08060.09510.07400.09070.06350.0882
0.00200.01300.00210.00230.00240.01050.00230.00520.00210.00610.00210.0068