International Journal of Intelligent Systems and Applications (IJISA)
IJISA Vol. 4, No. 5, 8 May 2012
Cover page and Table of Contents: PDF (size: 604KB)
Time – Delay Simulated Artificial Neural Network Models for Predicting Shelf Life of Processed Cheese
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Author(s)
Index Terms
ANN, Artificial Intelligence, Time-Delay, Processed Cheese, Shelf Life, Prediction
Abstract
This paper highlights the significance of Time-Delay ANN models for predicting shelf life of processed cheese stored at 7-8oC. Bayesian regularization algorithm was selected as training function. Number of neurons in single and multiple hidden layers varied from 1 to 20. The network was trained with up to 100 epochs. Mean square error, root mean square error, coefficient of determination and nash - Sutcliffe coefficient were used for calculating the prediction capability of the developed models. Time-Delay ANN models with multilayer are quite efficient in predicting the shelf life of processed cheese stored at 7-8^oC.
Cite This Paper
Sumit Goyal, Gyanendra Kumar Goyal, "Time – Delay Simulated Artificial Neural Network Models for Predicting Shelf Life of Processed Cheese", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.5, pp.30-37, 2012. DOI:10.5815/ijisa.2012.05.05
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