摘要
简介了人工神经网络及其使用方法,建立了单木树高与胸径生长的三层前馈反向传播种经网络模型(即BP模型),并对单木树高、胸径生长的BP模型与Richards函数进行了比较.
This article builds a model of three-level feed-toward back-propagation neural network to simulate the tree breast-height diameter and tree-height growth. By using this BP model and the Richards function to treat the original data,the accuracy could be increased obviously. The correlation ratios are up to 0.9939298 and 0.9896239 for treeheight; 0.9882061 and 0.9827694 for breast-height diameter.
出处
《中南林学院学报》
CSCD
1996年第3期34-36,共3页
Journal of Central South Forestry University
基金
国家自然科学基金
关键词
神经网络
BP模型
生长模拟
胸径
树高
artificial neural network
BP model
growth simulation
nonlinear map