Smart Artificial Intelligence Computerized Models for Shelf Life Prediction of Processed Cheese

 
 
 
  • Abstract
  • Keywords
  • References
  • PDF
  • Abstract


    Linear Layer (Design) and multiple linear regression artificial intelligence computerized models were developed for predicting shelf life of processed cheese stored at 7-8C. 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.


 

View

Download

Article ID: 201
 
DOI: 10.14419/ijet.v1i3.201




Copyright © 2012-2015 Science Publishing Corporation Inc. All rights reserved.