Evaluation of Clothing Comfort Using Neural Networks

使用神经网络评估服装舒适度

• 批准号: 09838040
• 负责人: SUGAI Kiyomi
• 金额: $ 2.11万
• 依托单位: Niigata Women's College
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1997
• 资助国家: 日本
• 起止时间: 1997 至 1998
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09838040/
• 关键词: neural network; clothing comfort; generalizing ability; weight coefficient; clothing comfort predictability; 改質ポリエステル; 着用快適性モデル

To assess clothing comfort quantitatively, we carried out wear trials with cotton, polyester and modified polyester and evaluated their clothing comfort using three-layered neural networks by the back propagation method. It was confirmed that clothing comfort was precisely predictable using neural networks from the height of generalizing ability. The differences among cotton, polyester and modified polyester were observed as the differences in generalizing abilities and weight coefficients in this system and the effects of clothing material on clothing comfort were made dear using this neural networks. It was also found that evaluation by neural networks was very useful for even an object which was difficult to model exactly, such as wear trial.

为了定量评价服装的舒适性，我们进行了穿着试验棉，涤纶和改性涤纶和评价他们的服装舒适性使用三层神经网络的反向传播方法。从泛化能力的高度证实了神经网络对服装舒适性的精确预测。通过该神经网络可以观察到棉、涤纶和改性涤纶在该系统中泛化能力和权重系数的差异，以及服装材料对服装舒适性的影响。研究还发现，即使对于难以精确建模的对象，如磨损试验，神经网络评估也非常有用。

项目成果

菅井清美 他: "ニューラルネットワークを利用した衣服の着用快適性評価" 日本ME学会雑誌. 35(2). 147-157 (1997)

Kiyomi Sugai 等人：“使用神经网络评估服装的穿着舒适度”Journal of Japan ME Society 35(2) (1997)。

Kiyomi Sugai 他: "Evaluation of clothing Comfort Using Neural Networks -Comparison among Cotten,Polyester and Modified Polyester-" Proceeding of Second International Conference on Human -Environmental System.167-170 (1998)

Kiyomi Sugai 等人：“使用神经网络评估服装舒适度 - 棉、聚酯和改性聚酯的比较 -”第二届人类环境系统国际会议记录.167-170 (1998)