A Dataset on Corn Silage in China Used to Establish a Prediction Model Showing Variation in Nutrient Composition

Table 6

The performance of the BP-ANN model for prediction of nutrient contents in whole plant corn silage.

Nutrition index	Factors	Calibration set		Prediction set
		R^2c	RMSEC	R^2p	RMSEP
DM	20	0.900	0.550	0.845	0.642
CP	20	0.945	0.293	0.927	0.519
EE	20	0.886	0.420	0.853	0.579
Ash	20	0.902	0.806	0.847	0.792
NDF	20	0.965	0.650	0.935	0.627
ADF	20	0.991	0.667	0.975	0.993
Starch	20	0.972	0.763	0.944	0.761
Ca	20	0.730	0.806	0.509	0.792
	20	0.615	0.806	0.453	0.792

¹Factors: the optimal number of factors used in the BP-ANN model.