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Study on the intelligent system of sports culture centers by combining machine learning with big data

机译：机器学习与大数据相结合的体育文化中心智能系统研究

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With the vigorous development of sports, people's awareness of engaging in sports has gradually increased, and the requirements for a sports culture center have been higher. However, the service system of traditional sports cultures center is single, which cannot meet people's growing experience needs. Therefore, it is urgent for the service system of sports culture centers to move towards intellectualization. Firstly, this paper discusses the service system of traditional sports culture centers and finds that there are some problems, such as slow transmission of information, poor sharing of resources, and weak flexibility of response, which seriously affect the consumer experience of users and restrict the development of sports culture centers. Then, with the help of computer network technology, the design of intelligent system architecture of sports culture centers is completed, which makes many intelligent subsystems interconnected and interoperable, integrates information, realizes the integration of data application network, and achieves the goal of resource sharing and function upgrading. Then, based on the intelligent system, the big data platform is built with the help of big data technology, and the support vector machine-back propagation (SVM-BP) neural network composite model is used to realize the prediction of the passenger flow in the cultural center, which provides guidance for adjusting the service plan in advance, effectively coping with the peak passenger flow and improving the user experience. Finally, through empirical analysis, we know that the design of an intelligent system greatly improves the service quality of cultural centers. The research results not only achieve a significant increase in passenger flow but also provide an effective way for the service of sports culture centers to move towards intellectualization.
机译：随着体育的蓬勃发展，人们的体育意识逐渐增强，对体育文化中心的要求也越来越高。但是，传统体育文化中心的服务体系是单一的，无法满足人们不断增长的体验需求。因此，迫切需要体育文化中心的服务体系向智能化发展。首先，本文对传统体育文化中心的服务体系进行了探讨，发现存在信息传递速度慢，资源共享差，响应灵活性差等问题，严重影响了用户的消费体验，制约了用户的消费体验。发展体育文化中心。然后，借助计算机网络技术，完成了体育文化中心智能系统体系结构的设计，使许多智能子系统实现了互联互通，信息集成，实现了数据应用网络的集成，达到了资源共享的目的。和功能升级。然后，在智能系统的基础上，借助大数据技术构建大数据平台，并利用支持向量机-反向传播（SVM-BP）神经网络复合模型来实现对客流的预测。文化中心可为提前调整服务计划，有效应对高峰客流并改善用户体验提供指导。最后，通过实证分析，我们知道智能系统的设计极大地提高了文化中心的服务质量。研究结果不仅实现了客流量的显着增加，而且为体育文化中心向智能化迈进提供了有效途径。

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