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作物生育期降雨量预测的灰色自记忆模型
Self-memory grey model for predicting precipitation of crop growth period
【摘要】 根据灰色系统理论得出作物生育期降雨序列的GM(1,1)微分方程,建立了作物生育期降雨量的灰色自记忆预测模型.将该模型应用于冬小麦和玉米生育期降雨量拟合及预测,结果表明,这种基于灰色微分方程又利用了多个观测往值信息的预测模型具有较高的计算精度.
【Abstract】 GM(1,1)differential equation of the precipitation time series of crop growth period was attained based on grey theory. The self-memory grey model for predicting precipitation of crop growth period was established; and the fitting and forecast for the precipitation of growth period of winter wheat and corn were performed with this model. The results show that the model based on differential equation as well as including historical information has the advantage of high accuracy.
【关键词】 作物生育期降雨量;
灰色微分方程;
自记忆预测模型;
【Key words】 precipitation time series of crop growth period; grey differential equation; self-memory prediction model;
【Key words】 precipitation time series of crop growth period; grey differential equation; self-memory prediction model;
【基金】 国家863计划项目(编号:2002AA2Z4311).
- 【文献出处】 武汉大学学报(工学版) ,Journal of Wuhan University of Hydraulic and Electric Engineering , 编辑部邮箱 ,2005年03期
- 【分类号】S165
- 【被引频次】14
- 【下载频次】198