Research on Comprehensive Quality Evaluation System of Cyclist Based on Support Vector Machine
YANG Lin
LI Yuan
YANH Yan
HAN Jing
HAN Meilin
QIAO Chengfang
Abstract：A comprehensive quality evaluation system of cyclists based on SVM algorithm is introduced in order to solve the problem that the nonlinear relationship between the comprehensive quality and the factors of the cyclists. The 16 factors of the 4 in?dexes of body shape,body function,sports ability and special ability of the 225 cyclists are chosen as the research objects. The pa?rameters of the network model are optimized by three methods,the grid search method,the GA algorithm and the improved GA algo?rithm. The results show that the improved GA algorithm has a high recognition accuracy,and it can reach 98.2906%. It can provide a scientific method for evaluating the comprehensive quality of cyclists.
Keywords：SVMGAcyclistscomprehensive quality
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 838-843,948 )