Complexity / 2017 / Article / Tab 1

Research Article

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

Table 1

Results of different models for Mackey-Glass time series prediction.

Model Method Number of neurons RMSE

Autoregressive model Least square 50.19
FNT [8] PIPE Not provided 7.1 × 10−3
RBF-AR [9] SNPOM 25 5.8 × 10−4
LLWNN [10] PSO + gradient decent algorithm 10 3.6 × 10−3
RBF [11]-means clustering 238 1.3 × 10−3
RBF [12] GA 98 1.5 × 10−3

Quasi-ARX RBFN model Proposed 20 9.1 × 10−3
Quasi-ARX RBFN model Proposed + SNPOM 20 2.1 × 10−3

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