Data/hora: 12/06/2024 11:13:20

Provedor de dados: 	89	
País: 	Brazil	
Título: 	Egg hatchability prediction by multiple linear regression and artificial neural networks	
Autores: 	Bolzan,AC; Machado,RAF; Piaia,JCZ.	
Data: 	2008-06-01	
Ano: 	2008	
Palavras-chave: 	Artificial incubation; Artificial neural networks; Hatchability; Multiple linear regression.	
Resumo: 	An artificial neural network (ANN) was compared with a multiple linear regression statistical method to predict hatchability in an artificial incubation process. A feedforward neural network architecture was applied. Network trainings were made by the backpropagation algorithm based on data obtained from industrial incubations. The ANN model was chosen as it produced data that fit better the experimental data as compared to the multiple linear regression model, which used coefficients determined by minimum square method. The proposed simulation results of these approaches indicate that this ANN can be used for incubation performance prediction.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2008000200004	
Editor: 	Fundação APINCO de Ciência e Tecnologia Avícolas	
Relação: 	10.1590/S1516-635X2008000200004	
Formato: 	text/html	
Fonte: 	Brazilian Journal of Poultry Science  v.10 n.2 2008	
Fonte: 	info:eu-repo/semantics/openAccess