Logistic方程统计建模及对红松单木生长的拟合  

Statistical Modeling of Logistic Equation and Fitting of Individual Tree Growth of Pinus koraiensis

作　　者：徐文科[1] 孙广山[1] 李凤日[1] 

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《东北林业大学学报》2011年第6期114-115,共2页Journal of Northeast Forestry University

基　　金：国家林业公益性行业科研专项(201004026)

摘　　要：以多元统计分析原理与方法为工具,对Logistic方程进行建模,同时对初始预测值进行了加权修正,进一步完善了Logistic模型的拟合曲线,指出了以往对于初始预测值认识上的不足。而改进后的初始预测值会优化系统预测。本研究方法与以往的拟合方法相比,其优点是避免了某一个初始值对整个预测系统的影响,并把这种方法应用于红松单木生长的数据拟合,通过权数的调整得到拟合精度的改进。Logistic function model is constructed according to the methods and principles of multivariate statistical analysis.The initial predictive value is modified through weighting,and the fitting curve of the Logistic model is improved.The inadequacy of the original understanding for the initial predictive value is pointed out,and the improved value of initial prediction can optimize system prediction.Compared with the traditional method,this method can avoid the effect of a certain initial value on the whole prediction system.The method is applied to data fitting of Pinus koraiensis,and the fitting precision is improved by weighting adjustment.

关 键 词：LOGISTIC方程 初始预测值 参数估计 

分 类 号：S718.43[农业科学—林学]