确保人力资本质量背景下区域体育旅游可持续发展的神经计算研究

E. Letiagina, V. Perova, A. Gutko
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引用次数: 0

摘要

当今世界,人力资本是衡量一个国家社会经济可持续发展的关键指标之一。我们利用神经计算工具,在确保人力资本质量的背景下,研究体育、运动和积极旅游的现状,以维护人口的健康和延长预期寿命。体育活动对人力资本发展的重要性决定了这一领域研究的相关性,而人力资本是国家经济潜力的核心内部因素之一。人力资本在保障国家安全和区域可持续发展方面也发挥着重要作用。我们使用人工智能分支之一的神经网络工具,对俄罗斯地区的体育文化和运动数据进行了聚类分析。本文提出的基于神经计算和神经网络建模的方法有助于为旨在促进可持续发展和体育、体育和旅游在确保人力资本质量方面的作用的战略建议和措施提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neurocomputing for the Research of Sustainable Regional Development of Physical Culture, Sports and Tourism in the Context of Ensuring the Quality of Human Capital
In today’s world, human capital is one of the key indicators of a country’s sustainable socio-economic development. We have used neurocomputing tools to study the current state of physical education, sports and active tourism in the context of ensuring the quality of human capital, in order to preserve the population’s health and increase life expectancy. The relevance of research in this field is determined by the importance of physical activity for the development of human capital, which is one of the central internal factors of countries’ economic potential. Human capital also plays an important role in ensuring national security and sustainable regional development. We have performed a cluster analysis of physical culture and sports data in Russian regions using the tools of neural networks, one of the branches of artificial intelligence. The proposed approach based on neurocomputing and neural network modeling can be helpful in informing strategy proposals and measures aimed at enhancing the sustainable development and the role of physical culture, sports and tourism to ensure the quality of human capital.
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