Shelf Life Estimation of Processed Cheese by Artificial Neural Network Expert Systems

Authors

  • SUMIT GOYAL

    National Dairy Research Institute, India
  • Gyanendra Kumar Goyal

    National Dairy Research Institute, India

Received date: March 27, 2012

Accepted date: March 29, 2012

Published date: March 30, 2012

DOI:

https://doi.org/10.14419/jacst.v1i1.10

Abstract

Time –delay artificial neural network (ANN) single layer and multilayer artificial models were developed for predicting the shelf life of processed cheese stored at 7-8o C. Soluble nitrogen, pH; standard plate count, yeast & mould count, and spore count were input variables, and sensory score was output variable. The results showed excellent agreement between training and validation data with high coefficient of determination and nash - sutcliffo coefficient, thus suggesting that the developed models are good for predicting the shelf life of processed cheese.

Author Biography

  • SUMIT GOYAL, National Dairy Research Institute, India
    SRF,N.D.R.I.,KARNAL

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How to Cite

GOYAL, S., & Goyal, G. K. (2012). Shelf Life Estimation of Processed Cheese by Artificial Neural Network Expert Systems. Journal of Advanced Computer Science & Technology, 1(1), 32-41. https://doi.org/10.14419/jacst.v1i1.10

Received date: March 27, 2012

Accepted date: March 29, 2012

Published date: March 30, 2012