Estimating Processed Cheese Shelf Life with Artificial Neural Networks

Sumit Goyal (N.D.R.I.,KARNAL-132001,INDIA)
Gyanendra Kumar Goyal

IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 1, No 1: March 2012

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