Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks in Nonlinear Identification

Table 2

Resulting RMSE (CHK) values in ANFIS and IT2FNN for non-linearity identification in Experiment 2 with 10-fold cross-validation.

SNR (dB)	ANFIS	IT2FNN-0	IT2FNN-1	IT2FNN-2	IT2FNN-3
0	1.0432	0.7203	0.6523	0.5512	0.5267
10	0.3096	0.2798	0.2583	0.2464	0.2344
20	0.1703	0.1637	0.1592	0.1465	0.1387
30	0.1526	0.1408	0.1368	0.1323	0.1312
Free	0.1503	0.1390	0.1323	0.1304	0.1276