首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于人工神经网络的树高曲线模型研究
引用本文:马天晓,赵晓峰,黄家荣,陈晨,尚铁军.基于人工神经网络的树高曲线模型研究[J].河南林业科技,2006,26(1):4-5,11.
作者姓名:马天晓  赵晓峰  黄家荣  陈晨  尚铁军
作者单位:1. 河南农业大学林学园艺学院,郑州,450002
2. 河南省林业调查规划院
摘    要:本文利用人工神经网络建模技术,以河南农业大学三区内毛白杨人工林99株的断面积平均直径和树高资料为基础,研建了树高曲线人工神经网络BP模型和幂函数模型。通过两个函数模型的比较表明:人工神经网络建模技术精度高、误差小,具有很强的泛化能力。在用幂函数拟合较差的情况下,人工神经网络也取得很高的精度,其拟合效果具有明显的优势。

关 键 词:人工神经网络  BP模型  幂函数模型  树高曲线
文章编号:1003-2630(2006)01-0004-02
收稿时间:2006-01-20
修稿时间:2006-01-20

Research on the height-diameter model of tree with artificial neural network
MA Tian-xiao ,ZHAO Xiao-feng ,HUANG Jia-rong, CHEN Chen.Research on the height-diameter model of tree with artificial neural network[J].Journal of Henan Forestry Science and Technology,2006,26(1):4-5,11.
Authors:MA Tian-xiao  ZHAO Xiao-feng  HUANG Jia-rong  CHEN Chen
Institution:the foresty and horticulture college of Henan Agricultural University
Abstract:Based on 99 populus tomemtosa’s basal area and tree height materials in NO.3 district of Henan Agricultural University,the paper,utilizing modeling technology of the artificial neural network,carried on t the tree height-diameter model of the BP artificial neural network model and exponential function model..Between the two functions: the precision of the rtificial neural network model is better than the exponential function model,the aberration is less.While the exponential function fitting curve worse,the artificial neural network makes very high precision too.It has obvious advantage of fitting curve.
Keywords:artificial neural network  BP modle  exponential function model  tree heig
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号