纺织学报 ›› 2011, Vol. 32 ›› Issue (7): 111-116.

• 服装工程 • 上一篇    下一篇

基于BP神经网络的春夏女装流行色预测

狄宏静1,刘冬云1,吴志明2   

  1. 1. 江南大学
    2. 江南大学纺织服装学院
  • 收稿日期:2010-07-26 修回日期:2011-03-16 出版日期:2011-07-15 发布日期:2011-09-15
  • 通讯作者: 吴志明 E-mail:wxwuzm@163.com
  • 基金资助:

    国家级;省级

Forecast of women's SS fashion color based on BP neural network

  • Received:2010-07-26 Revised:2011-03-16 Online:2011-07-15 Published:2011-09-15

摘要: 应用科学的CIELab色度测量方法,对国内权威机构发布的2001-2011年的春夏女装流行色色卡进行量化,旨在对流行色属性变化规律进行深入分析和直观表达。色卡量化样本分项统计和图表分析结果显示,春夏女装流行色属性存在不变、渐变与突变的三重特征,在此基础上进行2011年春夏流行色色相、色调频数以及红色调L*、a*、b*对应的min、max值估计下色调分布的BP神经网络预测与检验以及2012年的再预测,2011年各项预测结果与实际流行趋势发布基本吻合,研究表明该方法能科学、全面、连续地预测流行色,丰富了流行色预测理论。

Abstract: This paper aims to deeply explore and intuitionally express the changes of fashion color characters with the application of scientific CIELab color measurement and Women’s SS fashion color Card released by domestic authority from 2001 to 2011. The Partial statistics and chart analysis of color card Quantitative sample show that there is Triple Features of Women’s SS fashion color, constant, gradation and mutation. On the basis of this, fashion color hue and tone number, as well as the tone distribution of red color corresponding to the min and max value of L*, a*and b*, are Forecasted and estimated in 2011 and re-forecasted in 2012 by the use of the BP neural network. The results of each forecast in 2011 are basically coincident with the actual fashion trends release, which shows that a scientific, comprehensive, continuous fashion color forecast is done and the fashion color forecast theories are enriched.

中图分类号: 

  • TS 941.7-9
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