Individual factor analysis of wrestler’s performance based on SVM

Support vector machine (SVM) is a binary classification model, its algorithm is to map the sample data into a high-dimensional space. The hyperplane found in the high-dimensional space can accurately separate two kinds of data samples and maximize the interval. According to the problem of randomness...

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Veröffentlicht in:	Journal of physics. Conference series 2021-06, Vol.1941 (1), p.12083
Hauptverfasser:	Xu, Naidan, Zhao, Linlin, Wu, Zhengzhi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Autoregressive models Data processing Factor analysis Hyperplanes Physics Principal components analysis Support vector machines Wrestling
Online-Zugang:	Volltext
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