摘要
<正>根据林木生长的随机性和动态性,用CAR模型自动辩识机辩知林木生长“多对多”动态系统的阶、参数。然后把得到的差分方程组变换成状态矩阵方程,在此基础上对林木生长动态进行Kalman滤波和实时预报,并给出了预报精度。
Abstract
In this paper, an automatic CAR model identifier is proposed to show the parameter and order of dynamic forest-tree growth sysfem and then the difference equation group obtained will be transformed into a state matrix equation, on this basis, the Kalman filtering and forecasting are carried out for the forest-tree growth. The precision of forecasting is also discussed.
骆林川.
预报林木生长的Kalman滤波器[J]. 南京林业大学学报（自然科学版）. 1987, 11(04): 77-85 https://doi.org/10.3969/j.jssn.1000-2006.1987.04.011
Lo Linchuan.
A KALMAN FILTER FOR FORECASTING FOREST-TREE GROWTH[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 1987, 11(04): 77-85 https://doi.org/10.3969/j.jssn.1000-2006.1987.04.011
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