Sports decision-making model based on data mining and neural network

被引：28

作者：

Yuan, Chunmei ^{[1
]}

Yang, Yikun ^{[1
]}

Liu, Yang ^{[2
]}

机构：

[1] Yangtze Univ, Coll Educ & Sports Sci, Jingzhou 434023, Hubei, Peoples R China

[2] Chongqing Univ Posts & Telecommun, Coll Comp Sci & Technol, Chongqing 400065, Peoples R China

来源：

NEURAL COMPUTING & APPLICATIONS | 2021年 / 33卷 / 09期

关键词：

Data mining; Neural network; Machine learning; Sports decision-making; EDUCATION TEACHER-EDUCATION; PHYSICAL-EDUCATION; FITNESS;

D O I：

10.1007/s00521-020-05445-x

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The sports decision-making system is affected by many factors, and the sports decision-making system itself is a complex decision-making system, including multiple micro-systems. In order to construct a more scientific sports decision-making model, this paper builds a sports decision-making model based on data mining and neural network based on data mining technology and neural network algorithms. Moreover, based on the analysis of system theory, stakeholder theory and multi-objective decision-making theory, this paper provides a theoretical basis for the study of multi-objective decision-making problems in sports events. In addition, this paper discusses the starting point of decision-making and the scope of research from the basic concepts of sports decision-making and analyzes the multi-objective decision-making system of sports decision-making. At the same time, on this basis, this paper designs a multi-objective decision-making model for sports events, and finally conducts empirical research based on the designed model. Through empirical analysis and simulation research, it can be known that the combined model constructed in this paper performs well and has certain practical effects.

引用

页码：3911 / 3924

页数：14

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