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基于LVQ神经网络的青年女性胸部识别模型构建

沙莎 李诗怡 迟诚 万亚如 江学为

纺织工程学报2024,Vol.2Issue(1):69-79,11.
纺织工程学报2024,Vol.2Issue(1):69-79,11.

基于LVQ神经网络的青年女性胸部识别模型构建

Establishment of Recognition Model for Young Females'Breast Shapes Based on LVQ Neural Network

沙莎 1李诗怡 2迟诚 3万亚如 2江学为3

作者信息

  • 1. 武汉纺织大学 设计创新与纤维科学研究院,武汉 430073
  • 2. 武汉纺织大学 服装学院,武汉 430073
  • 3. 武汉纺织大学 服装学院,武汉 430073||武汉纺织大学 武汉纺织服装数字化工程技术研究中心,武汉 430073
  • 折叠

摘要

Abstract

In order to improve the accuracy of young women's chest morphology classification and fill the de-fects of the bra number classification system,this paper constructs a young women's chest recognition model based on LVQ neural network by combining the young women's chest body shape features.The study uses non-contact laser 3D technology to collect a total of 216 young female college students'chest data,and the nine chest feature indicators extracted by factor analysis are clustered by K-means clustering method,and the K value is determined by elbow diagram and contour coefficient diagram,and the chest type is finally classified into four categories.On this basis,the LVQ neural network chest type recognition model was constructed,and the LVQ neural network was trained with the 9 chest feature indicators as input and 4 chest types as output.The re-sults show that the model is trained and tested with a recognition accuracy of 95%and a Kappa coefficient of 0.932.Compared with the BP and PNN neural network models,the LVQ neural network model significantly out-performs the other two neural networks in terms of computational efficiency,model accuracy and stability.

关键词

三维人体测量/胸部特征/胸部形态分类/胸型识别/LVQ神经网络

Key words

3-D anthropometry/chest features/chest morphology classification/chest shape recognition/LVQ neural network

分类

轻工纺织

引用本文复制引用

沙莎,李诗怡,迟诚,万亚如,江学为..基于LVQ神经网络的青年女性胸部识别模型构建[J].纺织工程学报,2024,2(1):69-79,11.

基金项目

国家自然科学基金项目(61802285) (61802285)

湖北省教育厅科学研究计划重点项目(D20201704) (D20201704)

湖北省服装信息化工程技术研究中心开放基金项目(184084006). (184084006)

纺织工程学报

2095-4131

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