Vegetables Price Forecasting in Hainan Province Based on Linear and Nonlinear Combination Model
文献类型： 外文期刊
作者： Ye, Lu 1 ; Qin, Xiaoli 1 ; Li, Yuping 1 ; Liu, Yanqun 1 ; Liang, Weihong 1 ;
作者机构： 1.Chinese Acad Trop Agr Sci, Inst Sci & Tech Informat, Danzhou, Peoples R China
关键词： vegetables price;BP;ARIMA;linear programming;nonlinear combination forecasting
期刊名称：2016 13TH INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT
ISSN： 2161-1890
年卷期： 2016 年
页码：
收录情况： SCI
摘要： With Hainan vegetables price from 2012 to 2015 as the research object, Back Propagation (BP) neural network forecasting model and Autoregressive Integrated Moving Average (ARIMA) forecasting model of Hainan vegetables price are set up. Based on above two models, linear combination and nonlinear combination forecasting model of vegetables price are established by linear programming method and BP neural network method. The results indicate that nonlinear combination model is superior to linear combination model, and linear combination model is superior to any single model, reflecting that combination model can make individual models complement each other's advantages to improve prediction accuracy.
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