Using Different Types of Addition-Subtraction Frequency (ASF) Approach with Different Numbers of Input Variables to Predict Years of Financial Events after Fed Tightening | |
Ye C.[1,2]; Wang R.[1,3]; Xiao M.[1,3]; Xue Z.[1,3]; Zhang Y.[1,3] | |
10 November 2018 through 12 November 2018 | |
会议日期 | 10 November 2018 through 12 November 2018 |
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/5855522 |
专题 | 青海师范大学 |
作者单位 | 1.[1]School of Information Science and Technology, Sun Yat-sen University , Guangzhou, 510006, China 2.[2]School of Computer Science, Qinghai Normal University, Xining, 810008, China 3.[3]Research Institute of Sun Yat-sen University in Shenzhen, Shenzhen, 518057, China |
推荐引用方式 GB/T 7714 | Ye C.[1,2],Wang R.[1,3],Xiao M.[1,3],et al. Using Different Types of Addition-Subtraction Frequency (ASF) Approach with Different Numbers of Input Variables to Predict Years of Financial Events after Fed Tightening[C]. 见:. 10 November 2018 through 12 November 2018. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论