木材材质预测方法比较分析

Comparison of Forecasting Methods for Wood Quality

分析了木材材质预测研究中常用的三种建模方法:回归分析方法、时间序列方法和神经网络方法的特点,以木材生长轮密度预测为例,给出了三种预测方法的建模过程与结果,并进一步对多个材性指标建模比较分析,认为:神经网络方法是木材材质预测的最优选择。

The characteristics of regression analysis method, time series method and neural network method commonly used in wood quality forecast were analyzed. The modeling process and result of these forecasting methods were presented in terms of the density forecast of wood growth ring. The modeling result is analysed by multi-indexes of wood quality. It indicates that neural network method is the best method for wood quality forecast.