The Open Automation and Control Systems Journal

2015, 7 : 2116-2120
Published online 2015 October 30. DOI: 10.2174/1874444301507012116
Publisher ID: TOAUTOCJ-7-2116

Based on the Data Curve Fitting Field Events Forecast Application in Research Achievements

Jian Zhang
Dalian Polytechnic University, Dalian 116034, Liaoning, China.

ABSTRACT

Today's overall grasp and prediction of the trend changes in sports scores, led this study to carry out the discussion that the athletes’ obtaining reasonable suggestion is particularly important to fundamentally improve the comprehensive quality of track and field athletes performance. The Olympic Games is the big games, and the ‘stand or fall’ of achievements is the only measure of players performance. This study used Chinese sports yearbook collection of 28 sessions of four major jumping events of track and field events, respectively for the high jump, long jump, triple jump, pole vault and other 28 Olympic Games track and field sports performance analysis of the results using the least squares curve regression. A change curve is drawn, so as to describe the performance change trend, and forecast the coming Olympic Games performance. The regression curve is a simple and feasible way to forecast results.

Keywords:

Curve fitting, least-square method, performance prediction, track and field sports.