https://scholars.lib.ntu.edu.tw/handle/123456789/612411
標題: | Fashion retail forecasting by evolutionary neural networks | 作者: | Au K.-F TSAN MING CHOI Yu Y. |
關鍵字: | Evolutionary neural networks; Forecasting; SARIMA | 公開日期: | 2008 | 卷: | 114 | 期: | 2 | 起(迄)頁: | 615-630 | 來源出版物: | International Journal of Production Economics | 摘要: | Recent literature on nonlinear models has shown that neural networks are versatile tools for forecasting. However, the search for an ideal network structure is a complex task. Evolutionary computation is a promising global search approach for feature and model selection. In this paper, an evolutionary computation approach is proposed in searching for the ideal network structure for a forecasting system. Two years' apparel sales data are used in the analysis. The optimized neural networks structure for the forecasting of apparel sales is developed. The performances of the models are compared with the basic fully connected neural networks and the traditional forecasting models. We find that the proposed algorithms are useful for fashion retail forecasting, and the performance of it is better than the traditional SARIMA model for products with features of low demand uncertainty and weak seasonal trends. It is applicable for fashion retailers to produce short-term retail forecasting for apparels, which share these features. ? 2008 Elsevier B.V. All rights reserved. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-46849097617&doi=10.1016%2fj.ijpe.2007.06.013&partnerID=40&md5=62a4eba074e77e5b3dd8fdebcd00de3d https://scholars.lib.ntu.edu.tw/handle/123456789/612411 |
DOI: | 10.1016/j.ijpe.2007.06.013 | SDG/關鍵字: | Artificial intelligence; Calculations; Forecasting; Sales; Statistics; Complex tasks; Demand uncertainty; Elsevier (CO); Evolutionary computation (EC); Evolutionary neural networks; Forecasting models; Forecasting systems; Global search approach; Model selections; Network structures; Neural networks structure; Non linear modeling; Sales data; Seasonal trends; Versatile tools; Neural networks |
顯示於: | 工商管理學系 |
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