灰色模型和支持向量机组合的预测模型及其应用  

Popular Colors Forecasting Based on Grey Model and Support Vector Machine

作　　者：金超[1] 牟艳[1] 马堃[1] 高晴[1] 

机构地区：[1]河海大学物联网工程学院

出　　处：《微型电脑应用》2015年第1期25-28,共4页Microcomputer Applications

基　　金：云南省科技计划项目(2011CF011)

摘　　要：针对流行色的季节性、时变性变化特点,提出一种灰色模型和支持向量机相融合的流行色预测模型.首先,分别采用灰色模型和支持向量机模型对女装流行色进行预测,然后,组合两种模型预测结果得到最终预测结果,最后,以2000～2011年度女装流行色进行仿真预测实验.结果表明,相对于其它预测模型,灰色支持向量机模型更能反映女装流行色动态变化规律,提高了女装流行色预测精度,丰富了女装流行色预测理论.Clothing fashion color is strong seasonal and time-variation. This paper proposes a model for fashion color prediction that based on grey model and support vector machine. Firstly, the gray model and the support vector machine are used to predict the women＇s clothing fashion color. Then the forecast results are combined to get the final forecasting result. Finally, the simulation pre- diction experiment is conducted according to 2000-2011 ＇s fashion color of annual women＇s clothing. The results show that the pro- posed model can reflect more women＇s fashion color variation rules than the other forecast model. It improves women＇s clothing fashion color prediction precision and enriches ladies fashion colors prediction theory as well.

关 键 词：女装流行色 预测 灰色模型 支持向量机 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]