%0 Journal Article
%T Time ¨C Delay Simulated Artificial Neural Network Models for Predicting Shelf Life of Processed Cheese
%A Sumit Goyal
%A Gyanendra Kumar Goyal
%J International Journal of Intelligent Systems and Applications
%D 2012
%I MECS Publisher
%X This paper highlights the significance of Time-Delay ANN models for predicting shelf life of processed cheese stored at 7-8o^C. 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 7-8o^C.
%K ANN
%K Artificial Intelligence
%K Time-Delay
%K Processed Cheese
%K Shelf Life
%K Prediction
%U http://www.mecs-press.org/ijisa/ijisa-v4-n5/v4n5-5.html