Liu Yue, Dong Bo, Zeng Xiangcheng
Sports Institute, Liaoning Normal University, Dalian, China.
College of Physical Education and Health, LinYi University, Linyi, China.
Front Psychol. 2022 Jul 28;13:956682. doi: 10.3389/fpsyg.2022.956682. eCollection 2022.
In recent years, sports have achieved rapid development worldwide, and the global economy has been significantly improved and improved. With the in-depth development of the two, the connection between sports and the economy has also become closer. Sports economy is a new type of economic form bred by specialization of sports organization, participation in consumerization, and profit-oriented operation under the condition of market economy. And the development of sports economy cannot be developed at once; it needs healthy and sustainable development. In order to find a better way to study the healthy and sustainable development of sports economy, this paper uses deep learning network algorithm and supports vector machine learning algorithm to build a mental model. It then uses the model to analyze various indicators of the sports industry in a province in China. This article is looking for information and summarizes the province's sports data from 2017 to 2021. The sports indicators of this experiment include regional GDP, total output of sports industry, sports practitioners, local financial sports expenditures, the number of policies, the number of people participating in physical exercise, and fitness venues and facilities. The realization results show that these variables develop at a relatively small rate under normal conditions, and then predict the data in the next few years under the healthy and sustainable development of the next few years through the mental model. The growth rates of various indicators of the sports economy have increased significantly, and they have been optimized by about 20% compared with the normal development.
近年来，体育在全球范围内取得了快速发展，全球经济也得到显著改善和提升。随着两者的深入发展，体育与经济之间的联系也日益紧密。体育经济是在市场经济条件下，由体育组织专业化、参与消费化、运营盈利化所孕育出的一种新型经济形式。而且体育经济的发展并非一蹴而就，它需要健康可持续的发展。为了探寻研究体育经济健康可持续发展的更好方法，本文运用深度学习网络算法和支持向量机学习算法构建了一个心智模型。接着利用该模型对中国某一省份体育产业的各项指标进行分析。本文通过查找资料并汇总了该省份2017年至2021年的体育数据。本实验的体育指标包括地区生产总值、体育产业总产值、体育从业人员、地方财政体育支出、政策数量、参加体育锻炼人数以及健身场地设施。实现结果表明，这些变量在正常情况下发展速度相对较小，然后通过心智模型对未来几年健康可持续发展情况下的数据进行预测。体育经济各项指标的增长率显著提高，与正常发展相比优化了约20%。
