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Central Nervous System Based Computing Models for Shelf Life Prediction of Soft Mouth Melting Milk Cakes
Author(s) -
Sumit Goyal,
Gyanendra Kumar Goyal
Publication year - 2012
Publication title -
international journal of information technology and computer science
Language(s) - English
Resource type - Journals
eISSN - 2074-9015
pISSN - 2074-9007
DOI - 10.5815/ijitcs.2012.04.05
Subject(s) - computer science , soft computing , shelf life , off the shelf , artificial intelligence , food science , artificial neural network , chemistry , software engineering
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 10 o 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.

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