Estimating Processed Cheese Shelf Life with Artificial Neural Networks

Sumit Goyal, Gyanendra Kumar Goyal

Abstract


Cascade multilayer artificial neural network (ANN) models were developed for estimating the shelf life of processed cheese stored at 7-8oC.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 developed models.The developed model with a combination of 5à16à16à1 showed excellent agreement between the actual and the predicted data , thus confirming that multilayer cascade models are good in estimating the shelf life of processed cheese.

DOI: http://dx.doi.org/10.11591/ij-ai.v1i1.336


Keywords


ANN

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