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基于神经网络的木材生长轮密度预测模型
引用本文:葛利,陈广胜,聂远志.基于神经网络的木材生长轮密度预测模型[J].东北林业大学学报,2005,33(2):76-76,85.
作者姓名:葛利  陈广胜  聂远志
作者单位:1. 哈尔滨商业大学,哈尔滨,150001
2. 东北林业大学
3. 黑龙江省伊春市营林局
基金项目:黑龙江省自然科学基金;黑龙江省哈尔滨市青年基金
摘    要:应用神经网络方法,进行木材材性指标生长轮密度的预测。建立了木材生长轮密度的神经网络模型.拟合了木材生长轮密度的变异规律,对木材生长轮密度进行了预测,并与时间序列方法对比,说明了神经网络用于木材生长轮密度预测的优势。

关 键 词:木材生长轮密度  神经网络  时间序列分析

Forecasting Model of Density of Wood Growth Ring Based on Neural Network
Ge Li,Chen Guangsheng,Nie Yuanzhi.Forecasting Model of Density of Wood Growth Ring Based on Neural Network[J].Journal of Northeast Forestry University,2005,33(2):76-76,85.
Authors:Ge Li  Chen Guangsheng  Nie Yuanzhi
Abstract:The wood growth ring densities were forecasted according to the method of neural network. The neural network model of wood growth ring density was established, the variation discipline of wood growth ring density was simulated, and the fore cast of wood growth ring density was made. The advantages of the neural network model for wood growth ring density were demonstrated, which would provide a new method for the forecast of wood properties.
Keywords:Density of wood growth ring  Neural network  Time s eries analysis
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