Research Article | OPEN ACCESS
Safety Prediction Analysis of the Agricultural Products Processing Based on the BP Neural Network
Jing Li and Da-en Huang Fu
College of Information Engineering, Kaifeng University, Kaifeng, Henan 475000, China
Advance Journal of Food Science and Technology 2015 11:755-760
Received: March ‎23, ‎2015 | Accepted: May ‎22, ‎2015 | Published: September 20, 2015
Abstract
By using BP neural network algorithm, this study aims at prompting the accuracy of safety prediction of the agriculture products processing. The science prediction of the deep-frozen dumplings' shelf-life has an important guiding significance for human health and the safety of quick-frozen food. Artificial Neural Network (ANN) is a kind of information processing system which is established by simulating the human nervous system. Based on these, by using the effective theory of integrated temperature combined with BP neural network method to predict the shelf-life of the frozen dumplings in this study, we aim at providing a theory basis for monitoring and controlling the quality change in the storage process of deep-frozen dumplings’ temperature fluctuations. Finally, an example is given to show that it is very effective by using the method adopted in this study.
Keywords:
ANN, BP neural network, deep-frozen dumplings, prediction,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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