Skip to main content

Table 6 Comparison of MR and ANN models using the testing data set

From: Predicting the growth performance of growing-finishing pigs based on net energy and digestible lysine intake using multiple regression and artificial neural networks models

Indicators

ADG

F/G

RMSE

 MR

162

0.30

 ANN

55

0.22

CCC

 MR

0.861

0.900

 ANN

0.976

0.952

R2

 MR

0.584

0.821

 ANN

0.951

0.905

  1. ADG average daily gain, CCC concordance correlation coefficients, F/G feed conversion ratio, RMSE root mean square error.
Back to article page

Journal of Animal Science and Biotechnology

ISSN: 2049-1891