Open AccessSmart Artificial Intelligence Computerized Models for Shelf Life Prediction of Processed Cheese
Author(s) -
Shweta Goyal,
Gyanendra Kumar Goyal
Publication year - 2012
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v1i3.201
Subject(s) - mean squared error , shelf life , linear regression , coefficient of determination , statistics , mathematics , correlation coefficient , computer science , artificial intelligence , food science , chemistry
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.