Smart Artificial Intelligence Computerized Models for Shelf Life Prediction of Processed Cheese
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2012-08-04 https://doi.org/10.14419/ijet.v1i3.201
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Abstract
Linear Layer (Design) and multiple linear regression artificial intelligence computerized models were developed for predicting shelf life of processed cheese stored at 7-8ºC. Mean Square Error, Root Mean Square Error, Coefficient of Determination and Nash - Sutcliffo Coefficient were applied for comparing the prediction ability of the developed models. The modelling results showed excellent agreement between the experimental data and predicted values with a high determination coefficient, suggesting that the Linear Layer (Design) and MLR models are very efficient in predicting the shelf life of processed cheese stored at 7-8oC.
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How to Cite
Goyal, S., & Goyal, G. K. (2012). Smart Artificial Intelligence Computerized Models for Shelf Life Prediction of Processed Cheese. International Journal of Engineering & Technology, 1(3), 281-289. https://doi.org/10.14419/ijet.v1i3.201Received date: 2012-07-07
Accepted date: 2012-07-31
Published date: 2012-08-04