Data/hora: 19/06/2024 03:51:20

Biblioteca(s): 	Embrapa Unidades Centrais.	
Data corrente: 	18/09/2014	
Data da última atualização: 	02/06/2017	
Autoria: 	FERRAZ, P. F. P.; YANAGI JUNIOR, T.; HERNÁNDEZ JULIO, Y. F.; CASTRO, J. de O.; GATES, R. S.; REIS, G. M.; CAMPOS, A. T.	
Afiliação: 	PATRICIA FERREIRA PONCIANO FERRAZ, UFLA; TADAYUKI YANAGI JUNIOR, UFLA; FABIÁN HERNÁNDEZ JULIO, UFLA; JAQUELINE DE OLIVEIRA CASTRO, UFLA; RICHARD STEPHEN GATES, University of Illinois; GREGORY MURAD REIS, UFLA; ALESSANDRO TORRES CAMPOS, UFLA.	
Título: 	Predicting chick body mass by artificial intelligence-based models.	
Ano de publicação: 	2014	
Fonte/Imprenta: 	Pesquisa Agropecuária Brasileira, Brasília, DF, v. 49, n. 7, p. 559-568, jul. 2014.	
Idioma: 	Inglês	
Notas: 	Título em português: Predição da massa corporal de pintinhos por meio de modelos baseados em inteligência artificial.	
Conteúdo: 	The objective of this work was to develop, validate, and compare 190 artificial intelligence&#8209;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 our climate&#8209;controlled wind tunnels using 210 chicks. A database containing 840 datasets (from 2 to 21&#8209;day&#8209;old hicks) ? with the variables dry&#8209;bulb air temperature, duration of thermal stress (days), chick ageb (days), and the daily body mass of chicks ? was used for network training, validation, and tests of models based on artificial neural networks (ANNs) and neuro&#8209;fuzzy networks (NFNs). The ANNs were most accurate in predicting the body mass of chicks from 2 to 21 days of age after they were subjected to the input variables, and they showed an R² of 0.9993 and a standard error of 4.62 g. The NNs enable the simulation of different scenarios, which can assist in managerial decision&#8209;making, and they can be embedded in the heating control system.	
Palavras-Chave: 	Artificial neural networks; Modeling; Neuro-fuzzy network; Thermal comfort.	
Thesaurus Nal: 	Animal welfare.	
Categoria do assunto: 	--	
URL: 	http://ainfo.cnptia.embrapa.br/digital/bitstream/item/108680/1/Predicting-chick-body.pdf	
Registro original: 	Embrapa Unidades Centrais (AI-SEDE)	
Exemplares: 	AI-SEDE - (56728-1) - UPE - AP - PP - 630.72081 - P474 -  - DIS