Prediction of Fabric Subjective Thermal-wet Comfort Properties Based on BP Neural Network

@article{Baozhu2010PredictionOF,
  title={Prediction of Fabric Subjective Thermal-wet Comfort Properties Based on BP Neural Network},
  author={Ke Baozhu and Cong Miao Shan},
  journal={2010 International Conference on Artificial Intelligence and Computational Intelligence},
  year={2010},
  volume={1},
  pages={248-251}
}
In this paper, six thermal-wet comfort objective evaluation indexes of 36 kinds of knitted fabrics such as air permeability rate, moisture transmission rate, wicking height, moisture regain rate, moisture diffusion rate and thermal resistance were tested and analyzed. And then the 36 kinds of knitted fabrics were made into the same style clothes. Four thermal-wet comfort subjective evaluation indexes of these clothes such as hot feeling, wet feeling, sticky feeling and cold feeling after… CONTINUE READING

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