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...

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Bibliographic Details
Main Authors: Flávia Cristina Martins Queiroz Mariano, Renato Ribeiro de Lima, Renata Ribeiro Alvarenga, Paulo Borges Rodrigues
Format: Article
Language:English
Published: Embrapa Informação Tecnológica 2020-03-01
Series:Pesquisa Agropecuária Brasileira
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000103600&tlng=en