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The construction of sports culture industry growth forecast model based on big data

Abstract

With the development of social economy, sports industry has shown its economic advantages. Sports industry has shown great potential in improving national economy, guiding social consumption, and adjusting industrial structure. However, compared with the rapid development of sports industry, the research on the growth law of sports culture industry is relatively backward, which largely restricts the further development of China’s sports industry. For this problem, this paper analyzes the feasibility of sports culture industry growth prediction based on big data theory from the perspective of data mining, proposes a sports culture industry growth prediction model based on genetic neural network, and realizes the prediction of sports culture industry growth law under the background of big data. The simulation result shows that the optimized neural network can effectively improve the efficiency and accuracy of prediction and show strong robust in predicting the laws of sports culture industry.

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Correspondence to Ke Yang.

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Yang, K. The construction of sports culture industry growth forecast model based on big data. Pers Ubiquit Comput (2019). https://doi.org/10.1007/s00779-019-01242-z

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Keywords

  • Sports culture industry
  • Big data
  • Data mining
  • Genetic neural network