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	Provedor de dados Ciênc. Tecnol. Aliment. (1) Autor Barella,Rodrigo Augusto (1) Canevesi,Rafael Luan Sehn (1) Cardozo Filho,Lucio (1) Klassen,Túlio (1) Martins,Tiago Dias (1) Silva,Edson Antonio da (1) Mais... Palavra-chave Artificial neural networks (1) Chillers (1) Water retention (1) Tipo do documento Info:eu-repo/semantics/article (1) Ano 2011 (1) País Brazil (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Modeling the water uptake by chicken carcasses during cooling by immersion Ciênc. Tecnol. Aliment. Martins,Tiago Dias; Klassen,Túlio; Canevesi,Rafael Luan Sehn; Barella,Rodrigo Augusto; Cardozo Filho,Lucio; Silva,Edson Antonio da. In this study, water uptake by poultry carcasses during cooling by water immersion was modeled using artificial neural networks. Data from twenty-five independent variables and the final mass of the carcass were collected in an industrial plant to train and validate the model. Different network structures with one hidden layer were tested, and the Downhill Simplex method was used to optimize the synaptic weights. In order to accelerate the optimization calculus, Principal Component Analysis (PCA) was used to preprocess the input data. The obtained results were: i) PCA reduced the number of input variables from twenty-five to ten; ii) the neural network structure 4-6-1 was the one with the best result; iii) PCA gave the following order of importance:... Tipo: Info:eu-repo/semantics/article Palavras-chave: Chillers; Artificial neural networks; Water retention. Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612011000300004 Registros recuperados: 1 Primeira ... 1 ... Última

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