Research Article | OPEN ACCESS
Study on Prediction of Chinese Food Price Based on Fuzzy Neutral Network
Tong Wen-Bing
The School of Statistics and Mathematics, Zhongnan University of Economics and Law, WuHan city, HuBei province, 430073, China
Advance Journal of Food Science and Technology 2015 7:551-555
Received: March 31, 2015 | Accepted: April 28, 2015 | Published: September 05, 2015
Abstract
In order to improve the prediction precision and accuracy of Chinese food price, the application of fuzzy neutral network on it in studied in depth. Firstly, the situation of China food price is analyzed. Secondly, the basic theory of fuzzy neutral network is analyzed. Thirdly, the training algorithm of fuzzy neutral network is designed. Finally, a simulation analysis is carried out for food prices in a province and results show that the fuzzy neutral network is an effective tool for predicting the Chinese price.
Keywords:
Chinese food price, fuzzy neutral network, 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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