基于BP神经网络的女裙结构研究  

Study of Skirt Structure Based on BP Neural Network

作　　者：伍圣 张尚勇 Wu Sheng;Zhang Shangyong(School of Textile Science and Engineering,Wuhan Textile University,Wuhan,Hubei 430299,China)

机构地区：[1]武汉纺织大学纺织科学与工程学院,湖北武汉430299

出　　处：《针织工业》2023年第3期78-81,共4页Knitting Industries

摘　　要：为提高服装样板生成速率,减少对服装样板师的经验依赖,实现服装样板的自动生成,根据女裙结构设计方法,收集女性标准净体尺寸,建立女性标准净体尺寸与成衣尺寸相应变更规则的BP神经网络模型。通过输入人体净尺寸直接得到成衣尺寸,同时展示虚拟试衣界面,并进行效果评价。结果表明:预测模型模拟服装样板师经验,实现服装纸样生产智能化,缩短服装企业生产周期,具有较好的应用效果。In order to improve the rate of garment pattern generation,reduce the reliance on the experience of garment pattern maker,and realize the automatic generation of garment pattern,according to the design method of women’s skirt structure,the standard body data of women was collected,and the BP neural network model of the corresponding change rules of the standard body data of women and the garment size were established.The garment size was directly obtained by inputting the body data,and the virtual fitting interface was also demonstrated and its effect was evaluated.The results show that the prediction model simulates the experience of garment pattern maker and shortens the enterprise garment production cycle,which has good application prospects.

关 键 词：女裙结构 纸样设计 服装样板 BP神经网络 预测模型 虚拟试衣 

分 类 号：TS941.717[轻工技术与工程—服装设计与工程]