Complexity / 2017 / Article / Tab 3

Research Article

Nonlinear System Identification Using Quasi-ARX RBFN Models with a Parameter-Classified Scheme

Table 3

Comparison results for the real system.

Model Super-parameters RMSE
(Gaussian)

ARX model - 1.016
NN [1] - 0.467
WN [6] - 0.529

SVR + quasi-linear kernel 1 -0.462
5 - 0.487
10 - 0.491

SVR + Gaussian kernel 1
0.05 1.060
0.1 0.828
0.2 0.643
0.5 1.122
0.05 0.850
0.1 0.740
0.20.562
0.5 0.633
10
0.050.775
0.1 0.665
0.2 0.608
0.5 1.024

Q-ARX SVR [13] 1
0.05 0.737
0.10.592
0.2 0.801
0.50.711
5
0.05 0.609
0.1 0.600
0.2 0.715
0.5 0.890
10
0.05 0.593
0.1 0.632
0.2 1.231
0.5 1.285

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