摘要
剪切性能作为织物的基本力学性能之一,对织物风格有决定性的影响。基于自适应模糊神经网络ANFIS的精纺毛型织物的剪切性能预测模型,建立了织物的纤维特性、结构与织物剪切性能之间的关系。通过对网络的训练,使该网络具有较强的自适应预测能力。
As one of fabric basic mechanical properties, shear property is important for fabric handle. Based on ANFIS, we put forward a forecasting model of worsted fabric shear property. The model establishes relations between shear property and fabric property and structure. The experimental results show that the network has strong capability of forecasting.
出处
《毛纺科技》
CAS
北大核心
2005年第5期49-52,共4页
Wool Textile Journal
