Feedforward Models Predicting Shelf Life of Buffalo Milk Burfi
In this paper the Artificial Neural Network (ANN) feedforward multilayer model is proposed for predicting the shelf life of burfi stored at 4oC. Buffalo milk burfi is very popular confection in Indian subcontinent. Input variables for the ANNs were experimental data of the product related to moisture, titratable acidity, free fatty acids, tyrosine, and peroxide value; and overall acceptability score output variable. The results exhibited excellent agreement between the actual and the predicted values, thus confirming the suitability of ANN model for predicting the shelf life of burfi.
Artificial Neural Networks; Feedforward algorithm; Burfi; Artificial Intelligence; Soft Computing
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