Early Warning Research of China's Vegetable Unmarketable Based on BP Neural Network

DOI

10.2991/emcs-15.2015.72How to use a DOI?

Keywords

Vegetables unsalable; BP artificial neural network; Early-warning indicators; Early-warning model; Model training

Abstract

Vegetables unmarketable in the current economic and social problems often encountered to know whether there will be vegetables unsalable phenomenon in the future, we have to do early warning research about it. BP artificial neural network has better fuzzy recognition capacity and fault tolerance capacity, becoming the first choice of vegetables unmarketable early-warning model.This studyselects 18 warning signs of indicators, selecting the price volatility as the warning intelligence indicators, constructing early warning indicator system of vegetables unsalable in China .We establish the early-warning models of vegetables unsalable based on BP artificial neural network, carry on the model training with cabbage statistical date of 2000-2009 in Shandong province,and validate the model with the date of 2010-2012. Establishment of early warning models of vegetables unmarketable further demonstrates BP artificial neural network is a more reliable prediction method, which should have better prospects in the application of vegetable unmarketable warning.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - LiJie Sun
AU  - Ling Li
AU  - Xiaobo Gu
AU  - Xiaolin Song
AU  - Bo Lu
PY  - 2015/01
DA  - 2015/01
TI  - Early Warning Research of China's Vegetable Unmarketable Based on BP Neural Network
BT  - Proceedings of the International Conference on Education, Management, Commerce and Society
PB  - Atlantis Press
SP  - 342
EP  - 346
SN  - 2352-5398
UR  - https://doi.org/10.2991/emcs-15.2015.72
DO  - 10.2991/emcs-15.2015.72
ID  - Sun2015/01
ER  -