Time–delay single layer artificial neural network models for estimating shelf life of burfi

Abstract

Time-delay single layer artificial neural network models were developed for estimating the shelf life of burfi stored at 30oC. Input variables for the models were moisture, titratable acidity, free fatty acids, tyrosine, and peroxide value, while the overall acceptability score was taken as output variable. Mean square error, root mean square error, coefficient of determination and Nash - sutcliffo coefficient were applied in order to compare the prediction ability of the Time-delay single layer models. The combination of 5-1-1 showed a very high correlation between the training and validation data, establishing that the developed models are effective in predicting the shelf life of burfi.