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Article Information:
The Prediction of Food Safety Composite Index based on BP Neural Network and GA Algorithm
Shengyang Yan
Corresponding Author: Shengyang Yan
Submitted: November 10, 2014
Accepted: January 8, 2015
Published: May 10, 2015 |
Abstract:
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The study established a BP neural network prediction model to test the effect of the application to predict the food safety Index. The GA was used to optimize the weights and thresholds of BP neural network. The theoretical analysis and experimental results prove that the BP neural network prediction is feasible for the food safety Index. The index prediction has some value in the field of food index forecast.
Key words: BP neural network prediction, food safety Index, GA algorithm, , , ,
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Cite this Reference:
Shengyang Yan, . The Prediction of Food Safety Composite Index based on BP Neural Network and GA Algorithm. Advance Journal of Food Science and Technology, (2): 101-104.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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