Central Nervous System Based Computing Models for Shelf Life Prediction of Soft Mouth Melting Milk Cakes

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Author(s)

Sumit Goyal 1,* Gyanendra Kumar Goyal 2

1. Sr. Research Fellow, National Dairy Research Institute, Karnal, India

2. Emeritus Scientist, National Dairy Research Institute, Karnal, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2012.04.05

Received: 21 May 2011 / Revised: 4 Oct. 2011 / Accepted: 19 Dec. 2011 / Published: 8 Apr. 2012

Index Terms

Central Nervous System, ANN, shelf life, soft mouth melting milk cakes, feedforward backpropagation, radial basis, artificial intelligence

Abstract

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.

Cite This Paper

Sumit Goyal, Gyanendra Kumar Goyal, "Central Nervous System Based Computing Models for Shelf Life Prediction of Soft Mouth Melting Milk Cakes", International Journal of Information Technology and Computer Science(IJITCS), vol.4, no.4, pp.33-39, 2012. DOI:10.5815/ijitcs.2012.04.05

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