Research Article
Robust Kernel Clustering Algorithm for Nonlinear System Identification
Table 9
Comparison results for Box Jenkins system.
| Algorithms | Number of inputs | Number of rules | MSE |
| Tong (1980) [16] | 2 | 19 | 0.469 | Pedrycz (1984) [16] | 2 | 81 | 0.320 | Xu (1987) [16] | 2 | 25 | 0.328 | Sugeno (1991) [16] | 2 | 2 | 0.359 | Yoshinari (1993) [16] | 2 | 6 | 0.299 | Joo (1997) [16] | 2 | 6 | 0.166 | Zhang (2006) [16] | 2 | 2 | 0.160 | Glowaty (2008) [16] | 2 | 2 | 0.391 | Andri (2011) [16] | 2 | 10 | 0.167 | Tanmoy Dam (2015) [16] | | Without noise | 2 | 2 | 0.152 | SNR = 30 dB | 2 | 2 | 0.153 | SNR = 10 dB | 2 | 2 | 0.277 | RKPFCM | | Without noise | 2 | 2 | 0.1458 | SNR = 30 dB | 2 | 2 | 0.1512 | SNR = 10 dB | 2 | 2 | 0.2342 | SNR = 5 dB | 2 | 2 | 0.2922 | SNR = 2 dB | 2 | 2 | 0.3014 | RKPFCM-PSO | | Without noise | 2 | 2 | 0.1455 | SNR = 30 dB | 2 | 2 | 0.1503 | SNR = 10 dB | 2 | 2 | 0.2338 | SNR = 5 dB | 2 | 2 | 0.2902 | SNR = 2 dB | 2 | 2 | 0.3001 |
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