揭示中国体育产业的经济潜力:以数据为导向的分析
1Department of Public Teaching, Guangdong Engineering Polytechnic, Guangzhou, Guangdong, China.
PloS one
|September 12, 2024
概括
这项研究用深度学习和数据挖掘量化了中国体育行业的经济效益. 调查结果强调了该行业对经济增长的重大贡献以及持续数据分析的必要性.
科学领域:
- 体育经济学体育经济学
- 数据科学数据科学数据科学
- 人工智能的人工智能
背景情况:
- 体育行业的经济影响往往被低估.
- 在量化体育部门获得的确切经济收益方面存在差距.
- 现有的研究缺乏用于体育经济分析的复杂模型.
研究的目的:
- 为体育部门提出一种新的经济模式.
- 量化体育行业的经济效益和发展轨迹.
- 解决体育行业经济量化方面的差距.
主要方法:
- 利用数据挖掘技术对体育行业数据进行定量分析 (2012-2022).
- 应用深度学习算法将原始数据转化为复杂的经济模型.
- 开发了一个根据体育行业动态量身定制的模拟框架.
主要成果:
- 体育产业在中国的经济增长中起着至关重要的作用.
- 深度学习算法有效地识别了经济轨迹分析的模式和见解.
- 该研究表明了持续学习和体育经济数据培训的价值.
结论:
- 开发的经济模型为了解体育行业的金融格局提供了一种新的方法.
- 深度学习和数据挖掘是体育精确经济评估的重要工具.
- 这项研究强调了体育行业对国家经济发展的重大贡献.
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