落叶松木材干燥质量的多重多元回归模型研究  

The Research on Multiple Regression Model of Drying Quality of Larch Wood

作　　者：王晓丰[1] 段文英[1] 陈广元[1] 

机构地区：[1]东北林业大学

出　　处：《哈尔滨师范大学自然科学学报》2013年第6期22-24,73,共4页Natural Science Journal of Harbin Normal University

摘　　要：选取落叶松为干燥对象,选取干球温度、干球湿度、介质循环风速、干燥时间作为自变量,选取含水率、应力作为因变量,建立多重多元回归模型,预测含水率和应力的变化.并采用预测方差验证了所建回归模型具有较高的预测能力.Larch is selected as the object of drying in this article, dry bulb temperature, humidity of the dry bulb, medium circulation wind speed, the drying time are selected as the independent variables, moisture content and stress are selected as the dependent variable, multiple regression model is created, the change of moisture content and stress is predicted. Regression model which has higher prediction ability is proved by the prediction error sum of squares and variance.

关 键 词：多重多元回归 落叶松木材 干燥模型 预测方差 

分 类 号：TS652[轻工技术与工程]