The Study of Selection Index System for a 15-17 Years Old Competitive Aerobics Athletes
Xue Ming-lu
Abstract
Xue Ming-lu
Abstract
This paper combined characteristics of China's Competitive Aerobics project and the characteristics of the 15-17-year-old woman Competitive Aerobics athletes from the start point of selecting athletes,in accordance with the principles and methods of selection athletes,through questionnaires and statistical optimization experts,established the selection indicators for a 15-17 years old Competitive Aerobics athletes,and carried out a detailed analysis of indicators,eventually established a target of various weights and various indicators of a detailed analysis of the initial construction of a 15-17-year-old woman.Competitive Aerobics index system providing some help of selection of athletes of this age.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper combined characteristics of China's Competitive Aerobics project and the characteristics of the 15-17-year-old woman Competitive Aerobics athletes from the start point of selecting athletes,in accordance with the principles and methods of selection athletes,through questionnaires and statistical optimization experts,established the selection indicators for a 15-17 years old Competitive Aerobics athletes,and carried out a detailed analysis of indicators,eventually established a target of various weights and various indicators of a detailed analysis of the initial construction of a 15-17-year-old woman.Competitive Aerobics index system providing some help of selection of athletes of this age.
Key concepts: Athletes, Selection (genetic algorithm), Index (typography), Competitive athletes, Statistical analysis, Psychology, Physical therapy, Computer science