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LINEAR LAYER AND GENERALIZED REGRESSION COMPUTATIONAL INTELLIGENCE MODELS FOR PREDICTING SHELF LIFE OF PROCESSED CHEESE

This paper highlights the significance of computational intelligence models for predicting shelf life of processed cheese stored at 7-8 g.C. Linear Layer and Generalized Regression models were developed with input parameters: Soluble nitrogen, pH, Standard plate count, Yeast & mould count, Spores, a...

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Uloženo v:
Hlavní autoři: S. Goyal, G.K. Goyal
Médium: Artigo
Jazyk:Inglês
Vydáno: iVolga Press 2012-03-01
Edice:Russian Journal of Agricultural and Socio-Economic Sciences
Témata:
Artificial Intelligence
Artificial Neural Network
Linear Layer
Generalized Regression
Processed Cheese
Shelf Life Prediction
On-line přístup:http://www.rjoas.com/issue-2012-03/i003_article_2012_05.pdf
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