Numerical extrapolation of important date sequence by addition-subtraction frequency(ASF)algorithm

摘要：

　　A momentous social event prediction attempt is presented in this work.Addition-subtraction frequency(ASF)algorithm with three inputs is investigated and employed to predict a possible date of the event.The important date data which this paper uses are the dates of United States president death in office(USPDIO)in the past.In order to find a consistent prediction result,three forms of USPDIO dates(i.e.,month/day/year form,month/year form,and year form)are chosen as input for numerical experiments.The feasibility of ASF is also verified via previous year confirmation.Finally,May to August in 2027 is presented in the conclusion section as the most possible date of USPDIO occurrence in the future via consistency analysis.

关键词： ASF algorithm numerical experiments consistency analysis

作者: Yunong Zhang Shuo Yang Jiadi Wang Chengxu Ye Yingbiao Ling

作者单位: School of Information Science and Technology,Sun Yat-sen University(SYSU),Guangzhou,510006,China School of Computer Science,Qinghai Normal University,Xining 810008,China

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 761-766

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）