Shelf Life Estimation of Processed Cheese by Artificial Neural Network Expert Systems

Abstract

Time-delay artificial neural network (ANN) single layer and multilayer artificial models were developed for predicting the shelf life of processed cheese stored at 7-8o C. Soluble nitrogen, pH; standard plate count, yeast & mould count, and spore count were input variables, and sensory score was output variable. The results showed excellent agreement between training and validation data with high coefficient of determination and nash-sutcliffo coefficient, thus suggesting that the developed models are good for predicting the shelf life of processed cheese.