摘要
本研究在华北落叶松林分平均胸径和平均树高原有只以树龄为变量的基础上增加了立地指数和植林密度因素,采用遗传规划技术进行数据拟合,获得了较好的理论生长方程,新的多元生长方程为华北落叶松生长模型提供了高精度、强适用性的生长函数。
In the past, the stand mean diameter at breast height and stand mean tree height growth functions of Larix principis-rupprechtii Mayr were primarily based on the age of tree. This paper adds two more factors, Site Index and Afforestation Density, to the growth functions by using the Genetic Programming to simulate and get the better theoretical growth functions. New multiple growth functions are identified for Larix principis-rupprechtii Mayr growth models supplying high-accuracy and strong- applicable growth function.
出处
《河北农业大学学报》
CAS
CSCD
北大核心
2009年第1期59-61,66,共4页
Journal of Hebei Agricultural University
基金
河北省教育厅资助项目(2005325)
关键词
遗传规划
神经网络
落叶松
生长模型
genetic programming
neural net
Larix principis-rupprechtii Mayr
growth Models