A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development
文献类型：期刊论文
| 作者 | Huang, Jian3; Chen, Qinyu2; Yu, Chengqing1 |
| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2022-10-01 |
| 卷号 | 14期号:19页码:18 |
| 关键词 | enterprise sustainable development E-commerce sales forecasting feature engineering deep learning attention mechanism |
| DOI | 10.3390/su141912224 |
| 英文摘要 | In recent years, with the rise of the Internet, e-commerce has become an important field of commodity sales. However, e-commerce is affected by many factors, and the wrong judgment of supply and marketing relationships will bring huge losses to operators. Therefore, it is of great significance to establish a model that can effectively achieve high precision sales prediction for ensuring the sustainable development of e-commerce enterprises. In this paper, we propose an e-commerce sales forecasting model that considers the features of many aspects of correlation. In the first layer of the model, the temporal convolutional network (TCN) is used to extract the deep temporal characteristics of univariate sales historical data, which ensures the integrity of temporal information of sales characteristics. In the second layer, the feature selection method based on reinforcement learning is used to filter the effective correlation feature set and combine it with the temporal feature after processing, which not only improves the amount of effective information input by the model, but also avoids the high feature dimension. The third layer of the reformer model learns all the features and pays different attention to the features with different degrees of importance, ensuring the stability of the sales forecast. In the experimental part, we compare the proposed model with the current advanced sales forecasting model, and we can find that the proposed model has higher stability and accuracy. |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000867152400001 |
| 出版者 | MDPI |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/19784]  |
| 专题 | 中国科学院计算技术研究所期刊论文 |
| 通讯作者 | Yu, Chengqing |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Taiyuan Univ Technol, Coll Mech & Vehicle Engn, Taiyuan 030024, Peoples R China 3.Hunan Ind Polytech, Coll Business & Trade, Changsha 410208, Hunan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, Jian,Chen, Qinyu,Yu, Chengqing. A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development[J]. SUSTAINABILITY,2022,14(19):18. |
| APA | Huang, Jian,Chen, Qinyu,&Yu, Chengqing.(2022).A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development.SUSTAINABILITY,14(19),18. |
| MLA | Huang, Jian,et al."A New Feature Based Deep Attention Sales Forecasting Model for Enterprise Sustainable Development".SUSTAINABILITY 14.19(2022):18. |
入库方式： OAI收割
来源：计算技术研究所
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