Table 1.

Model parameters setup.

Model parameters	PNN model	GRNN model	RBFNN model
Hidden layer (HL)	Fixed architecture	Fixed architecture	Fixed architecture
Number of neurons in HL	10–15	10–15	10–15
Training algorithm	Bayesian regularization	Bayesian regularization	Bayesian regularization
SPREAD (σ)	0–4	0–4	0–4
Performance indicator Measure	RMSE	RMSE	RMSE