Early Warning Research of China's Vegetable Unmarketable Based on BP Neural Network
- https://doi.org/10.2991/emcs-15.2015.72How to use a DOI?
- Vegetables unsalable; BP artificial neural network; Early-warning indicators; Early-warning model; Model training
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.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/emcs-15.2015.72 ID - Sun2015/01 ER -