Committee neural network and weighted multiple regression to predict the energetic values of poultry feedstuffs
Abstract: The objective of this work was to compare the committee neural network (CNN) and weighted multiple linear regression (WMLR) models, in order to estimate the nitrogen-corrected apparent metabolizable energy (AMEn) of poultry feedstuffs. The prediction equation was adjusted by using a WMLR m...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Embrapa Informação Tecnológica
2020-03-01
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Series: | Pesquisa Agropecuária Brasileira |
Subjects: | |
Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000103600&tlng=en |