Prediction Model of Coupled Heat and Moisture Transfer through Microclimate under Clothing by Grey Neural Network

摘要：

　　Grey neural model is developed to predict thermal and moisture performance of fabrics.The two factors considered are tiie effects of microclimate conditions under clothing and tiie fabrics physical properties influence on tiie heat and moisture transfer.Grey relevant degree analysis was applied to choose the input parameters of the neural network.The network consists of eleven input nodes.Seven hidden nodes for fabrics heat conductivity and nine input nodes.Nine hidden nodes for fabrics moisture absorption.In this paper,the data from tiie experiments are used as learning information for tiie neural network to develop a reliable prediction model.Finally tiie model performance is verified.And tiie prediction model can be applied to predict the performance of hygroscopic fabrics heat and moisture transfer.

关键词： Prediction model Grey relevant degree Coupled heat and moisture Hygroscopic material

作者: Shan Cong Lu-Lu Xie Bao-Zhu Ke

作者单位: Fashion of institution of Shanghai engineering science,Longteng Road,Shanghai,201620,China

会议类型: 国际会议

会议名称: 第六届纺织生物工程及信息国际会议(The 6th Textile Bioengineering and Informatics Symposium )(TBIS2013)

会议地点: 西安

会议语种:英文

页码: 400-406

在线出版日期: 2013-09-26（万方平台首次上网日期，不代表论文的发表时间）