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BRAIN. Broad Research in Artificial Intelligence and Neuroscience
Volume: 3 | Issue: 1 |
Time-Delay Artificial Neural Network Computing Models for Predicting Shelf Life of Processed Cheese
Sumit Goyal -
National Dairy Research Institute, Karnal (IN),
Gyanendra Kumar Goyal -
National Dairy Research Institute, Karnal (IN),
Abstract
This paper presents the capability of Time–delay artificial neural network models for predicting shelf life of processed cheese. Datasets were divided into two subsets (30 for training and 6 for validation). Models with single and multi layers were developed and compared with each other. Mean Square Error, Root Mean Square Error, Coefficient of Determination and Nash -
Sutcliffo Coefficient were used as performance evaluators, Time- delay model predicted the shelf life of processed cheese as 28.25 days, which is very close to experimental shelf life of 30 days.
Sutcliffo Coefficient were used as performance evaluators, Time- delay model predicted the shelf life of processed cheese as 28.25 days, which is very close to experimental shelf life of 30 days.
Academic discipline and sub-disciplines:
Artificial Intelligence
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