Application of simulated neural networks as Non-Linear Modular Modeling Method for predicting shelf life of processed cheese / Sumit Goyal and Gyanendra Kumar Goyal

Goyal, Sumit and Goyal, Gyanendra Kumar (2012) Application of simulated neural networks as Non-Linear Modular Modeling Method for predicting shelf life of processed cheese / Sumit Goyal and Gyanendra Kumar Goyal. Jurnal Intelek, 7 (2). pp. 48-54. ISSN 2682-9223

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Abstract

This paper presents the capability of simulated neural network (SNN) models for predicting the shelf life of processed cheese stored at ambient temperature 30o C. Processed cheese is a dairy product generally made from medium ripened Cheddar cheese. Elman and Linear Layer(Train) SNN models were developed. Body & texture, aroma & flavour, moisture, free fatty acids were used as input variables and sensory score as the output. Neurons in each hidden layers varied from 1 to 40. The network was trained with single as well as double hidden layers up to 100 epochs, and transfer function for hidden layer was tangent sigmoid while for the output layer, it was pure linear function. Mean square error, root mean square error, coefficient of determination and nash - sutcliffo coefficient performance measures were used for testing prediction potential of the developed models. Results showed a 4201 topology was able to predict the shelf life of processed cheese exceedingly well with R2 as 0.99992157. The corresponding RMSE for this topology was 0.003615359. From this study it is concluded that SNN models are excellent tool for predicting the shelf life of processed cheese.

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Item Type: Article
Creators:
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Goyal, Sumit
UNSPECIFIED
Goyal, Gyanendra Kumar
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Neural networks (Computer science)
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus
Journal or Publication Title: Jurnal Intelek
UiTM Journal Collections: UiTM Journal > Jurnal Intelek (JI)
ISSN: 2682-9223
Volume: 7
Number: 2
Page Range: pp. 48-54
Official URL: https://jurnalintelek.uitm.edu.my/index.php/main
Item ID: 34381
Uncontrolled Keywords: SNN, Elman, Linear layer (train), Processed cheese, Shelf life prediction, Artificial intelligence, Artificial neural network
URI: https://ir.uitm.edu.my/id/eprint/34381

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34381

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