All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.

Abstract

Research and application on performance prediction of the olympic mens sprint based on GM (1, 1) model

Author(s): Ling Xu, Deding Tang, Mingming Xing, Yufei Jin

This paper takes the OlympicmenÂÂ’s 100msprint champion performance in recent six sessions as the original data, and uses GM(1,1) prediction model in gray system theory to predict menÂÂ’s 100m sprint champion performance in the 31st Olympic Games. The results can be obtained by using MATLAB curve fitting xˆ1 k 1  1622.73e0.006117 k 1632.69 ; the predicted score is 9.59 seconds. The results show that: the score of menÂÂ’s 100m sprint champion in 31 Olympic will break the Olympic record. The findings have some significance to explore the athletics development law of track and field and to further promote the application of gray systemtheory in sports


Share this       
Awards Nomination

Table of Contents

Google Scholar citation report
Citations : 875

BioTechnology: An Indian Journal received 875 citations as per Google Scholar report

Indexed In

  • CASS
  • Google Scholar
  • Open J Gate
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • Cosmos IF
  • Directory of Research Journal Indexing (DRJI)
  • Secret Search Engine Labs
  • Euro Pub
  • ICMJE

View More

Flyer