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精纺毛织物透气性预测回归模型研究 被引量:2

Study on the Regression Model of Prediction on Air Permeability of Worsted Fabrics
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摘要 以精纺毛织物为对象,采用主成分回归方法建立了织物透气性与提取主成分的关系模型;通过对多元回归模型假设检验、回归方程及系数显著性检验和拟合度衡量,完成了对该回归方程的有效性检验。结果表明所得方程满足多元回归模型的假设,多元回归关系非常显著,拟合度高。 The relation model between the fabric air permeability and extracted principal components was built by principal component regression method using the worsted fabric as research objects. Through the hypothesis testing on multiple regression models, significant test on regression equation and coefficient and measure on the fitting effect, the validity test on the regression equation was finished. The results showed that the equation met multiple regression model assumptions. The multiple regression relationship was very significant and the degree of fitting was high.
出处 《纺织科技进展》 CAS 2014年第6期36-39,共4页 Progress in Textile Science & Technology
关键词 精纺毛织物 主成分分析 透气性预测 回归模型 worsted fabric principal component analysis prediction of the air permeability regression model
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