International Journal of
Computer Engineering Research

  • Abbreviation: Int. J. Comput. Eng. Res.
  • Language: English
  • ISSN: 2141-6494
  • DOI: 10.5897/IJCER
  • Start Year: 2010
  • Published Articles: 33

Full Length Research Paper

Predicting shelf life of dairy product by using artificial neural networks (ANN) and statistical computerized methods

Sumit Goyal* and Gyanendra Kumar Goyal
Dairy Technology Division, National Dairy Research Institute, Karnal-132001 (Haryana), India.
Email: [email protected]

  •  Accepted: 30 March 2012
  •  Published: 30 April 2012


Artificial neural networks (ANN) have been developed as generalizations of mathematical models of biological nervous systems. Generalized regression (GR) and multiple linear regression (MLR) models for shelf life prediction of dairy product were developed. Results of both the models were evaluated with three types of prediction performance measures viz., mean square error, root mean square error and coefficient of determination R2, and compared with each other. Based on these results, regression equations were developed. From the study, it is concluded that ANN and statistical computerized methods can be employed for predicting shelf life of dairy products.


Key words: Artificial neural networks (ANN), shelf life, dairy product, prediction, generalized regression, multiple linear regression.