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, Spore...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Russian Journal of Agricultural and Socio-Economic Sciences
2012-03-01
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Series: | Russian Journal of Agricultural and Socio-Economic Sciences |
Subjects: | |
Online Access: | http://www.rjoas.com/issue-2012-03/i003_article_2012_05.pdf |