2011
DOI: 10.1590/s0101-20612011000300004
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Modeling the water uptake by chicken carcasses during cooling by immersion

Abstract: Modeling the water uptake by chicken carcasses during cooling by immersionModelagem da absorção de água por carcassas de frango durante o resfriamento por imersão

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Cited by 7 publications
(8 citation statements)
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References 26 publications
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“…In other study, Martins et al . () modeled the water uptake by poultry carcasses during cooling by water immersion using ANN using data from 25 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 neural network structure 4‐6‐1 was the one with the best result.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In other study, Martins et al . () modeled the water uptake by poultry carcasses during cooling by water immersion using ANN using data from 25 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 neural network structure 4‐6‐1 was the one with the best result.…”
Section: Resultsmentioning
confidence: 99%
“…Some of these works include the identification of outliers in process data (Alves and Nascimento ), estimation of water uptake by poultry carcasses during cooling by water immersion (Martins et al . ), cooling of chicken carcasses by immersion (Klassen et al . ), industrial drying process (Assidjo et al .…”
Section: Introductionmentioning
confidence: 99%
“…As redes neurais mostraram-se eficientes para prever a absorção de água com correlação próxima a 1 e erro absoluto baixo, levando larga vantagem sobre o modelo fenomenológico, entretanto não foi eficiente para prever a temperatura final. Martins et al 2011, realizou uma modelagem da absorção de água durante o resfriamento de carcaças utilizando redes neurais. O estudo forneceu uma modelo preciso a partir de 25 variáveis para predizer o teor final de água nas carcaças, sendo as mais relevantes, transferência de massa, transferência de calor e características iniciais da carcaça.…”
Section: Redes Neurais E Aplicabilidadeunclassified
“…James et al (2006) reported carcasses mass gain during immersion chilling (4-8%), mass loss during air chilling (1-3%) and reduced mass loss (≤1%) by continuous water spray in air chilling processes. Scientists evaluate the effect of WI, FA and CO on the product quality, chilling yield, shelf life of poultry meats, weight gain and chilling time (Mielnik et al 1999;Young and Smith 2004;Savell et al 2005;Laurindo 2007, 2010;Huezo et al 2007;Carroll and Alvarado 2008;Jeong et al 2011a,b;Martins et al 2011;Perumalla et al 2011;Demorik et al 2013;Paolazzi et al 2013).…”
Section: Introductionmentioning
confidence: 99%