科研之友
微信
新浪微博
Facebook
分享链接
摘要
In order to improve the long-term prediction accuracy of feed grain demand, a dynamic forecast model of long-term feed grain demand is realized with joint multivariate regression model, of which the correlation between the feed grain demand and its influence factors is analyzed firstly; then the change trend of various factors that affect the feed grain demand is predicted by using ARIMA model. The simulation results show that the accuracy of proposed combined dynamic forecastingmodel is obviously higher than that of the grey system model. Thus, it indicates that the proposed algorithm is effective.
- 出版日期2016
- 单位河南工业大学
