Evaluation of Shelf Life of Processed Cheese by Implementing Neural Computing Models

Evaluation of Shelf Life of Processed Cheese by Implementing Neural Computing Models

For predicting the shelf life of processed cheese stored at 7-8º C, Elman single and multilayer models were developed and compared. The input variables used for developing the models were soluble nitrogen, pH; standard plate count, Yeast & mould count, and spore count, while output variable was...

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Bibliographic Details
Main Authors: Sumit Goyal, Gyanendra Kumar Goyal
Format: Article
Language:English
Published: Universidad Internacional de La Rioja (UNIR) 2012-06-01
Series:International Journal of Interactive Multimedia and Artificial Intelligence
Subjects:
Artificial Neural Network
Artificial Intelligence
Elman
Processed Cheese
Shelf Life
Online Access:http://www.ijimai.org/journal/sites/default/files/IJIMAI20121_5_8.pdf

Internet

http://www.ijimai.org/journal/sites/default/files/IJIMAI20121_5_8.pdf

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