Analysis of Factors Affected the Permeability of Fabric Composites and the Predicting Model Construction
The relationships between the permeability of composites and the parameters of fabrics and interlinings were analyzed in the paper. The factors which had marked influences to the permeability were selected after relation analysis. Then five principal components were obtained by the principal method among the selected factors. Based on the five principal components, the predicted models of the permeability of composites were constructed by methods of neural network. And the correlated coefficient was 0.966 between the predicted and test values of the neural network model. The results showed that the predicted models had the potential value in permeability prediction.
permeability principal components neural network
WANG Jing
Art College, Shandong University of Technology, Zibo Shandong 255049, P. R. China Fashion Institute, Donghua University, Shanghai 200051, P. R. China
国际会议
上海
英文
125-127
2007-10-15（万方平台首次上网日期，不代表论文的发表时间）