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RETRACTED ARTICLE: Economic simulation of sports industry based on deep learning algorithm and data mining.

Zou Yuhao1, Zhou Tian2

  • 1School of Preschool Education, Sichuan Preschool Educators College, Mianyang, 621015 Sichuan China.

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Summary

This study introduces a novel economic model for the sports industry, utilizing deep learning and data mining to analyze economic development. The findings enable more accurate predictions of the sports industry's future economic growth.

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Area of Science:

  • Sports Economics
  • Data Science
  • Industrial Analysis

Background:

  • Current sports industry research lacks comprehensive quantitative evaluation of economic development.
  • There's a need for better understanding of industrial scale, structure, function, and safety within the sports sector.
  • Existing data analysis methods do not fully capture the economic dynamics of the sports industry.

Purpose of the Study:

  • To establish a robust economic model for the sports industry.
  • To apply deep learning and data mining for analyzing sports industry economic data.
  • To improve the quantitative assessment and prediction of the sports industry's economic performance.

Main Methods:

  • Information extraction from sports industry databases.
  • Development of a sports industry economic model using deep learning algorithms.
  • Data mining techniques for processing and analyzing diverse economic datasets.
  • Quantitative analysis of sports industry economic development data.

Main Results:

  • Identification of hidden patterns and knowledge within sports industry economic data.
  • Successful conversion of extracted information into a functional economic model.
  • Demonstration of deep learning's capability in analyzing complex economic data.

Conclusions:

  • The developed economic model provides a comprehensive quantitative evaluation of the sports industry.
  • Deep learning algorithms, particularly neural networks, show significant potential for predicting future economic development in the sports industry.
  • This approach facilitates a deeper understanding of the sports industry's economic landscape.