摘要
根据孕妇体重、身高和腹围的采集数据,运用灰色神经网络理论,建立了孕妇腰围、胸围的灰色神经网络模型,对模型进行了验证和分析,并给出了模型在体型分析和服装号型分类上的应用.该模型具有较好的模拟精度,可为孕妇体型分析及孕妇装的号型制定提供可靠数据.
Based on the data of pregnancy weight,height,and abdominal circumference of pregnant women,the grey neural network model of waist circumference and chest circumference of pregnant women is established by using the grey neural network. The model is verified and analyzed,and the application of the model in shape analysis and garment size classification is given. The model has a good simulation accuracy and can provide reliable data for the analysis of pregnant women’s body shape and the formulation of pregnant women’s dress size.
作者
周静
陈晓玲
ZHOU Jing;CHEN Xiao-ling(College of Textile and Fashion,Hunan Institute of Engineering,Xiangtan 411104,China)
出处
《湖南工程学院学报(自然科学版)》
2020年第3期68-71,共4页
Journal of Hunan Institute of Engineering(Natural Science Edition)
基金
湖南工程学院优秀硕士学位论文培育项目(校教字〔2018〕107号)。
关键词
灰色模型
神经网络
孕妇
体型
grey model
neural network
pregnant woman
figure