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논문 기본 정보

자료유형
학술저널
저자정보
최형준 (단국대학교) 양민정 (단국대학교)
저널정보
한국체육과학회 한국체육과학회지 한국체육과학회지 제29권 제3호 (자연과학 편)
발행연도
2020.6
수록면
989 - 998 (10page)
DOI
10.35159/kjss.2020.06.29.3.989

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연구주제
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연구배경
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연구방법
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연구결과
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초록· 키워드

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This study was to compare the results of classified predictions on the distance categories, players, and ranks of the distance categories in 100m free style swimming using the artificial intelligence techniques. The subjects were selected and collected from the final matches of the Korea Sport Festival in 2017, 2018 and 2019. Total cases were 240 and 5 different dependent variables, such as frequencies of strokes, breaths, distance by a stroke, time by a stroke and speed, were used in this study. Among the data, 170 cases were used as training data, and 70 cases were utilized as testing data. In addition, the cluster analysis and self-organizing feature map(SOM) were used to determine data that the SOM model was trained with 300 times. There were several findings though this study as following belows.
First of all, distance categories were presented with greater value of agreement between actual data and predicted result that all players performed with similar patterns in the distance categories. Secondly, players were not distinguished within this study that the utilization of SOM and cluster analysis were not suitable. It assumed that individual characteristics of performance were influenced. Thirdly, the ranks of distance categories was also not distinguished within this study that there was a limitation of utilization of those sorts of methods.

목차

Abstract
Ⅰ. 서론
Ⅱ. 연구방법
Ⅲ. 결과
Ⅳ. 논의
Ⅴ. 결론
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