Central Nervous System Based Computing Models for Shelf Life Prediction of Soft Mouth Melting Milk Cakes
Автор: Sumit Goyal, Gyanendra Kumar Goyal
Журнал: International Journal of Information Technology and Computer Science(IJITCS) @ijitcs
Статья в выпуске: 4 Vol. 4, 2012 года.
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This paper presents the latency and potential of central nervous system based system intelligent computer engineering system for detecting shelf life of soft mouth melting milk cakes stored at 10o C. Soft mouth melting milk cakes are exquisite sweetmeat cuisine made out of heat and acid thickened solidified sweetened milk. In today’s highly competitive market consumers look for good quality food products. Shelf life is a good and accurate indicator to the food quality and safety. To achieve good quality of food products, detection of shelf life is important. Central nervous system based intelligent computing model was developed which detected 19.82 days shelf life, as against 21 days experimental shelf life.
Central Nervous System, ANN, shelf life, soft mouth melting milk cakes, feedforward backpropagation, radial basis, artificial intelligence
Короткий адрес: https://sciup.org/15011678
IDR: 15011678
Список литературы Central Nervous System Based Computing Models for Shelf Life Prediction of Soft Mouth Melting Milk Cakes
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