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

  • Authors

    • Sumit Goyal National Dairy Research Institute, India
    • Gyanendra Kumar Goyal
    https://doi.org/10.14419/ijet.v1i3.201

    Received date: July 7, 2012

    Accepted date: July 31, 2012

    Published date: August 4, 2012

  • 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.

    Author Biography

    • Sumit Goyal, National Dairy Research Institute, India
      SRF,N.D.R.I.,KARNAL

  • References

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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 and Technology, 1(3), 281-289. https://doi.org/10.14419/ijet.v1i3.201