摘要
利用计算机应用技术对农作物大豆的各生育期的重要气象因素,如:降雨、积温、日照的34年21组数据作了随机模型仿真研究.研究过程中多次运用黄金分割和最小二乘法确定付立叶级数的诸系数,从而确定了大豆生长期内的三个气象因素的随机模型,并在计算机上进行了计算及作图.计算结果与实际观测值拟合较好,是一种可行的预测方法.
With the advantage of computer applied technology,we have made artificial research of random model with 21 groups of data obtained from bean's several key factors such as rainfall,temperature,sunshine,etc., during every growing stage,for 34 years,In studying,we made full use of the Golden Division Method and the Method of Least Squares many times to determine the Fourier coefficients and gave the random model with three weather factors of the bean's grow stageg.This method is applied to the computer for calculation and graphics and the results have good approxima- tion to the practical data.So this has been proved to be a practical foreca- sting method.
关键词
气象
仿真
随机模型
回归分析
artificialization
modeling
regression analysis
