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International Journal of Intelligent Systems and Applications(IJISA)

ISSN: 2074-904X (Print), ISSN: 2074-9058 (Online)

Published By: MECS Press

IJISA Vol.4, No.5, May. 2012

Time – Delay Simulated Artificial Neural Network Models for Predicting Shelf Life of Processed Cheese

Full Text (PDF, 603KB), PP.30-37


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Author(s)

Sumit Goyal, Gyanendra Kumar Goyal

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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