%0 Journal Article
%T Soft Computing Methodology for Shelf Life Prediction of Processed Cheese
%A Sumit Goyal
%A Gyanendra Kumar Goyal
%J International Journal of Informatics and Communication Technology
%D 2012
%I Institute of Advanced Engineering and Science (IAES)
%R 10.11591/ij-ict.v1i1.506
%X Feedforward multilayer models were developed for predicting shelf life of processed cheese stored at 30o C. Input variables were Soluble nitrogen, pH, Standard plate count, Yeast & mould count and Spore count. Sensory score was taken as output parameter for developing feedforward multilayer models. Mean square error, root mean square error, coefficient of determination and nash - sutcliffo coefficient performance measures were implemented for testing prediction potential of the soft computing models. The study revealed that soft computing multilayer models can predict shelf life of processed cheese.
%U http://www.iaesjournal.com/online/index.php/IJICT/article/view/506