An intelligent weighted fuzzy time series model based on a sine-cosine adaptive human learning optimization algorithm and its application to financial markets forecasting | |
Yang, Ruixin[1]; Xu, Mingyang[2]; He, Junyi[3]; Ranshous, Stephen[4]; Samatova, Nagiza F.[5] | |
2017 | |
会议名称 | 13th International Conference on Advanced Data Mining and Applications, ADMA 2017 |
会议日期 | 2017-11-05 |
页码 | 595-607 |
URL标识 | 查看原文 |
内容类型 | 会议论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/2194673 |
专题 | 上海大学 |
作者单位 | [1]North Carolina State University, Raleigh, NC, United States [2]North Carolina State University, Raleigh, NC, United States [3]Shanghai University, Shanghai, China[4]North Carolina State University, Raleigh, NC, United States [5]North Carolina State University, Raleigh, NC, United States |Oak Ridge National Laboratory, Oak Ridge, TN, United States |
推荐引用方式 GB/T 7714 | Yang, Ruixin[1],Xu, Mingyang[2],He, Junyi[3],et al. An intelligent weighted fuzzy time series model based on a sine-cosine adaptive human learning optimization algorithm and its application to financial markets forecasting[C]. 见:13th International Conference on Advanced Data Mining and Applications, ADMA 2017. 2017-11-05. |
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