資料載入中.....
|
請使用永久網址來引用或連結此文件:
https://irlib.pccu.edu.tw/handle/987654321/21129
|
| 題名: | 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.) |
| 貢獻者: | 紡工系 |
| 關鍵詞: | GM(1;1) model
GNNM(1;1) model
time series
color suggestion ratio
textile fashion color |
| 日期: | 2010 |
| 上傳時間: | 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. |
| 顯示於類別: | [紡織工程學系] 期刊論文
|
文件中的檔案:
| 檔案 |
描述 |
大小 | 格式 | 瀏覽次數 |
|---|
| index.html | | 0Kb | HTML | 710 | 檢視/開啟 |
|
在CCUR中所有的資料項目都受到原著作權保護.
|
