Assessment of Shelf Life of Processed Cheese by Expert Cascade Artificial Neural Network Computing Models
Keywords:artificial neural network, artificial intelligence, cascade, shelf life prediction, processed cheese
This paper highlights the significance of cascade single layer models for predicting the shelf life of processed cheese stored at 7-8 o C. Mean square error, root mean square error, coefficient of determination and nash - sutcliffo coefficient were used for testing the prediction ability of the developed models. The developed cascade model with a combination of 5-->8-->1 showed excellent agreement between the actual and the predicted values, suggesting that single layer cascade models are efficient in predicting the shelf life of processed cheese.
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