期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
基于BP神经网络的女裙结构研究 被引量:2
1
作者 伍圣 张尚勇 《针织工业》 北大核心 2023年第3期78-81,共4页
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... 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。 展开更多
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
下载PDF
Auto-Generation Method of Child Basic Block Structure
2
作者 伍圣 饶崛 +2 位作者 江学为 钟安华 张尚勇 《Journal of Donghua University(English Edition)》 CAS 2023年第2期164-170,共7页
In order to realize the auto-generation of clothing paper pattern making and reduce the reliance on the experience of clothing pattern makers,by simulating the experience of the clothing pattern maker through back pro... In order to realize the auto-generation of clothing paper pattern making and reduce the reliance on the experience of clothing pattern makers,by simulating the experience of the clothing pattern maker through back propagation(BP)neural network,400 children’s body measurements are collected and drawn into the clothing paper pattern,and the children’s body measurements and the pattern sizes generated through the children’s clothing structure design rules are imported into MATLAB neural network toolbox and a neural network model is established to automatically become the predicted pattern size.Then the parametric mathematical model of children’s clothing paper pattern is established and the children’s body measurements is imported into Auto-CAD parametric function to generate children’s clothing paper pattern automatically.The experimental interface and the virtual try-on interface are demonstrated and their effects are evaluated.The results show that the production rate of clothing paper patterns is improved by the auto-generation method,which is of positive significance to the intelligent production of clothing enterprises. 展开更多
关键词 paper pattern back propagation(BP)neural network Auto-CAD parameterization auto-generation virtual fitting
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部