Applying gray model to predicting trend of textile fashion colors

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题名:	Applying gray model to predicting trend of textile fashion colors
作者:	Lin, JJ (Lin, J. J.) Sun, PT (Sun, P. T.) Chen, JJR (Chen, J. J. -R.) Wang, LJ (Wang, L. J.) Kuo, HC (Kuo, H. C.) Kuo, WG (Kuo, W. G.)
贡献者:	紡工系
关键词:	GM(1;1) model GNNM(1;1) model time series color suggestion ratio textile fashion color
日期:	2010
上传时间:	2011-12-22 10:02:22 (UTC+8)
摘要:	In this study, a GM(1,1) model is applied to forecast the trend of textile fashion colors. Through the historical time series data of the color suggestion ratios by international forecasting facilities in the past, the GM(1,1) model is applied to forecast the fashion color trend. Besides the GM(1,1) model, a gray neural network model (i.e. GNNM(1,1)) is developed to compare the precision with it as well. The simulated results show that the GM(1,1) model has higher forecast precision than the GNNM(1,1) one. The predicted results of the color trend using the GNNM(1,1) model are less close to the real circumstances than as expected. With the assistance of a gray model-based prediction model, the fashion color trend can be traced more precisely and easily.
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