Adaptive Neurofuzzy Inference System-Based Pollution Severity Prediction of Polymeric Insulators in Power Transmission Lines

Table 5

Statistical indices for performance assessment of the different types of ANFIS models.

Type of Mf	No. of MF	RMSE		RMSE	𝑅^2	𝑟
		Training	Validation	Testing
Trimf	2	0.007213	0.01282	0.00689	0.945	0.8462
	3	0.005301	0.01155	0.00683	0.967	0.9167
	4	0.003438	0.01485	0.02847	0.875	0.8413
	5	0.001705	0.00602	0.00282	0.974	0.9122
gaussmf	2	0.014395	0.00962	0.01609	0.962	0.8642
	3	0.016005	0.01687	0.01742	0.879	0.8932
	4	0.002167	0.00141	0.00031	0.999	0.9812
	5	0.009562	0.01225	0.00934	0.979	0.9232
gbellmf	2	0.009173	0.01072	0.01048	0.899	0.8652
	3	0.001831	0.00513	0.00323	0.998	0.9945
	4	0.001245	0.00496	0.00289	0.999	0.9952
	5	0.003399	0.01258	0.00894	0.969	0.9171