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首页> 外文期刊>繊維学会誌 >Performances of Artificial Intelligence Hybrid Models' in Prediction of Clothing Comfort From Fabric Physical Properties
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Performances of Artificial Intelligence Hybrid Models' in Prediction of Clothing Comfort From Fabric Physical Properties

机译：人工智能混合模型从织物物理性能预测服装舒适度的性能

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摘要

The purpose of this paper is to compare different approaches toward the prediction of human psychological perception of clothing comfort performance from fabric physical properties.A series of running wear trial,which involved 8 sets of tight-fit garment and 38 subjects,was conducted in an environmentally controlled chamber.Thirty-three fabric physical property indexes were measured and 9 individual sensations(clammy,sticky,breathable,damp,heavy,prickly,scratchy,tight and cool)and overall comfort were rated by the subjects during the running period.Different predictive models were derived on the basis of human perception process to predict clothing comfort from fabric physical properties.Results show that hybrid models consist of data reduction(abstract fabric properties and sensations into physical and sensory factors respectively),selflearning capability(to learning the behaviour of individuals)and fuzzy reasoning(handle the fuzziness between sensory factors and voerall clothing comfort)able to generate better predicted clothing comfort score than other predictive models in this study The correlation between predicted and actual clothing comfort rating was 0.739,with significant level of 0.001.
机译：本文的目的是比较从织物物理性能预测人类对服装舒适性能的心理感知的不同方法。在一系列的跑步试验中，共涉及8套紧身服装和38位受试者。测量了33种织物的物理性能指标，并评估了受试者在跑步过程中的9种个人感觉（发粘，粘滞，透气，潮湿，潮湿，重刺，发痒，抓紧，凉爽和凉爽）和整体舒适感。在人类感知过程的基础上，推导了预测模型，从织物的物理特性预测服装的舒适度。结果表明，混合模型包括数据缩减（分别将织物的特性和感觉抽象为物理和感觉因素），自学习能力（学习行为）。的个体）和模糊推理（处理感官因素与voerall服装舒适性之间的模糊性）能够比本研究中的其他预测模型生成更好的预测服装舒适性评分。预测服装舒适性等级与实际服装舒适性等级之间的相关性是0.739，显着水平为0.001。

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  • 来源
    《繊維学会誌》 |2003年第11期|p.429-436|共8页
  • 作者

    Anthony S.W.Wong; Yi Li; Kwok W.Yeung;

  • 作者单位

    Institute of Textiles and Clothing,The Hong Kong Polytechine University,Hung Hom,Hong Kong;

    Institute of Textiles and Clothing,The Hong Kong Polytechine University,Hung Hom,Hong Kong;

    Institute of Textiles and Clothing,The Hong Kong Polytechine University,Hung Hom,Hong Kong;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 化学纤维工业;
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