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基于遗传算法和文献可视化分析的智能体育场的战略评估模型:来自中国成都的一个案例研究

Xi Zhu¹, Xiaobo Peng²

¹College of Physical Education, Southwest Jiaotong University, Chengdu, 611756, Sichuan, China.

|June 3, 2024

概括

图书统计分析显示,智能体育场馆研究的成倍增长. 未来的关键趋势包括物联网 (IoT),人工智能 (AI) 和智能体育场战略评估模型.

科学领域:

运动技术技术运动技术
图书统计学图书统计学
智能活动场所

背景情况:

智能体育场馆领域已经经历了显著的增长.
现有的研究缺乏对该领域的演变和关键驱动因素的综合理解.
需要进行系统的文献计量分析来绘制研究格局.

研究的目的:

从1998年到2022年,对智能体育场馆研究进行全面的文献分析.
确定关键的研究主题,有影响力的作者,机构和出版物.
提出战略评估模型并预测未来的研究热点.

主要方法:

使用CiteSpace和VOSviewer软件进行图书统计分析.
分析作者网络,机构合作,时间趋势,关键词聚类和共同引用网络.
使用遗传算法 (GA) 开发智能体育场战略评估模型 (SSSAM).

主要成果:

与智能体育场所相关的出版物呈指数增长.
亚利桑那州立大学,能源和建筑,和王X分别被确定为领先的机构,出版物和作者.
研究热点已经从智能软件转移到物联网 (IoT),智能服务和人工智能 (AI).

结论:

该研究提供了对智能体育场馆研究的全面概述,确定了关键贡献者和不断发展的主题.
结合人工神经网络 (ANN) 和GA的SSSAM模型验证了向物联网,AI和AIoT的转变.
未来的研究预计将集中在智能体育场内建立信息建模 (BIM),云计算和AIoT.

关键词:

人工智能的人工智能是人工智能.物联网的物联网,就是物联网.科学测量公司的科学测量.智能体育场智能体育场战略模型的战略模型.

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