基于多重多元回归的木材干燥质量预测模型  

Prediction Model of Wood Drying Quality Based on Multivariate Regression

作　　者：丁徽[1] 谢健[1] 段文英[1] 

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《东北林业大学学报》2012年第6期131-133,共3页Journal of Northeast Forestry University

摘　　要：利用多重多元回归分析理论,在干燥过程中建立干燥指标与其影响因素之间的预测模型,从而达到预测含水率、应力的目的。选择温度、相对湿度、干燥时间作为自变量,应力、含水率作为因变量,建立多对多的木材干燥质量预测模型。模型的显著性检验表明,模型的拟合度较高,具有较好的预测能力。A study was conducted to establish a prediction model of wood drying quality by multivariate regression in order to predict drying stress and moisture content of wood.A multivariate regression model was established using temperature,re-lative humidity,and drying time as the independent variables,and drying stress and moisture content as the dependent variables.Statistical significance test shows that the model fits the measured data well,with a high precision.

关 键 词：干燥质量 多重多元回归 预测模型 

分 类 号：S781.71[农业科学—木材科学与技术]