A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network | |
Guan, Hongjun; Dai, Zongli; Zhao, Aiwu; He, Jie | |
刊名 | PLOS ONE |
2018 | |
卷号 | 13期号:2 |
DOI | 10.1371/journal.pone.0192366 |
URL标识 | 查看原文 |
公开日期 | [db:dc_date_available] |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/4563199 |
专题 | 山东大学 |
作者单位 | 1.Shandong Univ Finance & Econ, Sch Management Sci & Engn, Jinan, Shandong, Peoples R China. 2.Jiang |
推荐引用方式 GB/T 7714 | Guan, Hongjun,Dai, Zongli,Zhao, Aiwu,et al. A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network[J]. PLOS ONE,2018,13(2). |
APA | Guan, Hongjun,Dai, Zongli,Zhao, Aiwu,&He, Jie.(2018).A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network.PLOS ONE,13(2). |
MLA | Guan, Hongjun,et al."A novel stock forecasting model based on High-order-fuzzy-fluctuation Trends and Back Propagation Neural Network".PLOS ONE 13.2(2018). |
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