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

Table 1

RMSE (CHK) values of ANFIS and IT2FNN with 10-fold cross-validation for identifying non-linearity of Experiment 1.

SNR (dB)	ANFIS	IT2FNN-0	IT2FNN-1	IT2FNN-2	IT2FNN-3
0	0.6156	0.3532	0.2764	0.2197	0.1535
10	0.2375	0.1153	0.0986	0.0683	0.0453
20	0.0806	0.0435	0.0234	0.0127	0.0087
30	0.0225	0.0106	0.0079	0.0045	0.0028
Free	0.0015	0.0009	0.0004	0.0002	0.0001