Table 2.

Predictive performance of ANN models

No. of neurons	Approximation function	No. of epochs	RMSE
			Training	Testing
4	Tansig–Purelin	1105	0.09008	0.09488
4	Logsig–Purelin	390	0.09592	0.09063
6	Tansig–Purelin	349	0.08840	0.09579
6	Logsig–Purelin	384	0.08884	0.09538
8	Tansig–Purelin	1744	0.08792	0.09673
8	Logsig–Purelin	452	0.08787	0.09697
10	Tansig–Purelin	577	0.08786	0.09661
10	Logsig–Purelin	927	0.08757	0.09673
12	Tansig–Purelin	798	0.08719	0.09610
12	Logsig–Purelin	1579	0.08605	0.09517