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

HIGHLIGHTS

• who: Li Wang from the China Agricultural University, Beijing, PRChina have published the research work: Predicting the growth performance of growing-finishing pigs based on net energy and digestible lysine intake using multiple regression and artificial neural networks models, in the Journal: (JOURNAL)
• what: The aims of this study were to 1) predict the average daily gain (ADG) and feed conversion ratio (F/G) of growingfinishing pigs based on dietary nutrient intake by developing MR models and ANN models 2) compare the performance of the two models in growth performance prediction in pigs. Models with . . .
  

   

  

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