Prediction of fabric thermal-wet comfort properties based on BP neural network

摘要：

　　In this paper,the dynamic thermal-wet comfort objective evaluation indexes such as KTs,KTe,Tequ,△ T and RHequ of 36 kinds of knitted fabrics were tested.And then the 36 kinds of knitted fabrics were made into clothes of same style.The thermal-wet comfort subjective evaluation indexes such as hot feeling,wet feeling,sticky feeling and cold feeling after exercise of these clothes were assessed by human body wearing tests.28 kinds of the fabrics were selected to establish the prediction model between the objective and subjective evaluation indexes based on BP neural network.The other 8 kinds of fabrics were used to validate the accuracy of the model.The results showed that the model can effectively predict the subjective thermal-wet comfort properties of fabrics.

关键词： prediction BP neural network objective thermal-wet comfort subjective thermal-wet comfort

作者: Jialin Feng Binqing Wang Baozhu Ke

作者单位: Shanghai University of Engineering Science,Shanghai,201620,China

会议类型: 国内会议

会议名称: 2015上海纺织服装创意创新研究生学术论坛暨第九届纺织服装创新国际论坛

会议地点: 上海

会议语种:英文

页码: 32-33

在线出版日期: 2015-07-01（万方平台首次上网日期，不代表论文的发表时间）