International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 25 - Number 9 |
Year of Publication: 2011 |
Authors: Sumit Goyal, Gyanendra Kumar Goyal |
10.5120/3058-4170 |
Sumit Goyal, Gyanendra Kumar Goyal . Development of Intelligent Computing Expert System Models for Shelf Life Prediction of Soft Mouth Melting Milk Cakes. International Journal of Computer Applications. 25, 9 ( July 2011), 41-44. DOI=10.5120/3058-4170
Soft mouth melting milk cakes from water buffalo milk were prepared by using milk collected from Experimental Dairy, National Dairy Research Institute, Karnal, India. This milk was standardized to 6% fat. Time-delay and linear layer (design) intelligent computing expert system models were developed for predicting shelf life of soft mouth melting milk cakes stored at 6oC. Linear layer (design) model gave best outcomes (MSE: 0.000293366, RMSE: 0.017127919, R2: 0.996479613). Regression equations were developed based on these outcomes, shelf life was predicted 49.54 days. The predicted value is close to the experimentally obtained shelf life of 50 days. Therefore, from the study it is concluded that intelligent computing expert system models are effective tool predicting the shelf life of soft mouth melting milk cakes.