Predicting chick body mass by artificial intelligence-based models

Predicting chick body mass by artificial intelligence-based models

The objective of this work was to develop, validate, and compare 190 artificial intelligence-based models for predicting the body mass of chicks from 2 to 21 days of age subjected to different duration and intensities of thermal challenge. The experiment was conducted inside four climate-controlled...

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Bibliographic Details
Main Authors: Patricia Ferreira Ponciano Ferraz, Tadayuki Yanagi Junior, Yamid Fabián Hernández Julio, Jaqueline de Oliveira Castro, Richard Stephen Gates, Gregory Murad Reis, Alessandro Torres Campos
Format: Article
Language:English
Published: Embrapa Informação Tecnológica 2014-07-01
Series:Pesquisa Agropecuária Brasileira
Subjects:
bem estar animal
redes neurais artificiais
frango
modelagem
redes neurais difusas
conforto térmico
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2014000700559&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2014000700559&lng=en&tlng=en

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