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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 9    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 9, September 2011
A New Scientific Approach of Intelligent Artificial Neural Network Engineering for Predicting Shelf Life of Milky White Dessert Jeweled with Pistachio
Full Text(PDF, 3000)  PP.  
Author(s)
Sumit Goyal and Gyanendra Kumar Goyal
KEYWORDS
ANN, Dessert, Generalized Regression, Intelligent Computing, Linear Layer (Train), Neurocomputing, Shelf Life
ABSTRACT
This paper highlights the capability of artificial neural networks for predicting shelf life of milky white dessert jeweled with pista-chio. Linear layer (train) and generalized regression models were developed and compared with each other. Neurons in each hidden layers varied from 1 to 30. Data samples were divided into two sets, i.e., 80% of data samples were used for training and 20% for validating the network. Mean Square Error, Root Mean Square Error, Coefficient of determination and Nash - Sutcliffo Coefficient were applied in order to compare the prediction performance of the developed models. The experimental shelf life is 21 days and the developed intelligent artificial neural network model predicted 20.15 days shelf life for milky white dessert jeweled with pistachio
References
[1] U. Siripatrawan and P. Jantawat, “Artificial neural network approach to simultaneously predict shelf life of two varie ties of packaged rice snacks”. International Journal of Food Science & Technology, Vol. 44, No.1 pp.42–49, 2009.

[2] Mathworks web.site accessed on 10.6.2011: “http:// www.mathworks.com/help/toolbox/nnet/ref/linearlayer.html”.

[3] Mathworks web.site accessed on 7.7.2011: “http:// www.mathworks.com/help/toolbox/nnet/ref/newgrnn.html”.

[4] Wikipedia web – site accessed on 11.7.2011 http://en.wikipedia.org/wiki/Shelf_life.

[5] Sumit Goyal and G.K. Goyal,”Application of artificial neural engineering and regression models for forecasting shelf life of instant coffee drink”, International Journal of Computer Science Issues,Vol.8,Issue 4,No 1,pp 320.324, 2011.

[6] Sumit Goyal and G.K. Goyal,” Development of Intelligent Computing Expert System Models for Shelf Life Prediction of Soft Mouth Melting Milk Cakes”. International Journal of Computer Applications,Vol 25,No.9 , pp 41.44,2011

[7] R.A. Chayjan and M.E. Ashari ,”Modeling isosteric heat of soya bean for desorption energy estimation using neural network approach”. Chilean Journal of Agricultural Research, Vol 70, No.4 , pp 616.625, 2010.

[8] Sumit Goyal and G.K. Goyal,” Development of neuron based artificial intelligent scientific computer engineering models for estimating shelf life of instant coffee sterilized drink”. International Journal of Computational Intelligence and Information Security., Vol. 2, No. 7, pp – 4.12,2011

[9] Sumit Goyal and G.K. Goyal,”Simulated Neural Network Intelligent Computing Models for Predicting Shelf Life of Soft Cakes”. Global Journal of Computer Science and Technolo gy., Vol.11,No.14, Version 1.0,pp. 29.33,2011

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