MATEC Web of Conferences
Volume 25, 20152015 International Conference on Energy, Materials and Manufacturing Engineering (EMME 2015)
|Number of page(s)
|06 October 2015
The Evaluation on Data Mining Methods of Horizontal Bar Training Based on BP Neural Network
1 Teaching and Research Office of Physical Education, Department of Public Basic Courses, Langfang Health Vocational College, Langfang, Hebei, China
2 Langfang Health Vocational College, Langfang, Hebei, China
With the rapid development of science and technology, data analysis has become an indispensable part of people’s work and life. Horizontal bar training has multiple categories. It is an emphasis for the re-search of related workers that categories of the training and match should be reduced. The application of data mining methods is discussed based on the problem of reducing categories of horizontal bar training. The BP neural network is applied to the cluster analysis and the principal component analysis, which are used to evaluate horizontal bar training. Two kinds of data mining methods are analyzed from two aspects, namely the operational convenience of data mining and the rationality of results. It turns out that the principal component analysis is more suitable for data processing of horizontal bar training.
Key words: data mining / BP neural network / cluster analysis / principal component analysis
© Owned by the authors, published by EDP Sciences, 2015
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