The method to apply artificial neural network into the area of heat and moisture permeability of the fabric were studied and discussed in this work.
本研究主要对神经网络求解织物热湿传递问题进行深入研究。
The fiber properties, the yarn structures and properties, the fabric structures and properties interact, as the results the heat and moisture permeability of the fabrics show great differences.
在研究织物热湿传递时，影响热湿传递的因素比较复杂，包括纤维种类与性能、纱线结构与性能、以及织物的结构与性能等。
The influence of fabric texture, yarn fineness and fabric tightness on moisture permeability, UV resistance and wrinkle recovery of Nylon taffeta fabrics is investigated.
探讨了织物组织、纱线细度、织物紧度对尼丝纺织物的透湿性、抗紫外线性和折皱回复性的影响。
Fabric with hydrophobicity coarse fiber has better moisture permeability, and with the increasing of coarse fiber content, the fabric moisture permeability is increased.
含有疏水处理粗纤维的织物透湿量增加，并且随着疏水处理粗纤维含量的增加织物透湿性增强。
After blending milk fibre with natural fiber, the moisture permeability and antistatic property of the milk fibre fabric had obviously been improved.
牛奶蛋白纤维和棉毛等天然纤维混纺后可改善牛奶蛋白纤维织物的导湿性能和抗静电性能。
After blending milk fibre with natural fiber, the moisture permeability and antistatic property of the milk fibre fabric had obviously been improved.
牛奶蛋白纤维和棉毛等天然纤维混纺后可改善牛奶蛋白纤维织物的导湿性能和抗静电性能。
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