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。
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