Table 1.

The final model and statistical parameters.

	Neural Network architecture	Degrees of Freedom	SSEa	%AADb	RMSEc	(R2)d
Model	6-2-1	2.33	20.86	15.88	0.77	0.86

^aSSE is the sum squared error,

^bAAD is the average absolute deviation, and

^cRMSE is the root mean squared error of the predictions.

^d(R²) is the regression coefficient between the experimental and predicted values.