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首页> 外文会议>2011 International conference on network computing and information security >Prediction of Fabric Subjective Thermal-Wet Comfort Properties by Inputting the Objective Parameters
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Prediction of Fabric Subjective Thermal-Wet Comfort Properties by Inputting the Objective Parameters

机译：通过输入客观参数预测织物的主观热湿舒适性

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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.
机译：本文测试了36种针织面料的动态热湿舒适性客观评价指标，如KTs，KTe，Tequ，ΔT和RHequ。然后将36种针织面料制成相同样式的衣服。这些运动后的热湿舒适性主观评价指标如热感，湿感，粘感和冷感通过人体穿着试验进行评估。选择了28种面料，建立了基于BP神经网络的客观评价指标与主观评价指标之间的预测模型。其他8种织物用于验证模型的准确性。结果表明，该模型可以有效预测织物的主观热湿舒适性。

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