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在大学生心理健康的在线评估中应用MPP数据库和人工智能系统

¹College of Education and Science, Northwest Normal University, Lanzhou 730070, Gansu, China; Department of Public Security, Gansu Police Vocational College, Lanzhou 730046, Gansu, China.

Preventive medicine

|June 23, 2023

概括

这项研究将大规模并行处理 (MPP) 数据库与人工智能集成,用于增强大数据分析和大学生心理健康评估. 该方法改善了数据管理,并为心理评估提供了有效的工具.

科学领域:

计算机科学计算机科学
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:

大数据处理和分析为传统系统带来存储和管理的挑战.
分布式文件系统为大数据存储提供了可靠性,可用性和可扩展性的解决方案.
与分布式文件系统集成的MPP数据库正在成为一个重要的研究领域.

研究的目的:

用MPP数据库和分布式文件系统解决大数据存储和管理方面的局限性.
通过基于人工智能的控制算法来提高网络控制系统的性能.
利用MPP数据库和人工智能开发一个有效的在线评估工具,用于大学生心理健康.

主要方法:

利用MPP数据库进行大数据处理和分析.
实现人工智能控制算法,包括模糊PID控制器和动态BP网络,用于系统控制.
集成的MPP数据库和人工智能系统用于心理健康评估应用.

主要成果:

开发了一个可行的解决方案,用于大数据处理和分析.
通过基于AI的控制器减少了系统控制性能的影响.
启用了对大学生心理健康的有效在线评估,为心理规模的修订提供了基础.

结论:

与分布式文件系统相结合的MPP数据库对于可扩展的大数据管理至关重要.
人工智能显著提高了控制系统和心理健康评估的性能和准确性.
整合MPP数据库和人工智能为推进大数据解决方案和学生福祉计划提供了一个有希望的方法.

关键词:

人工智能系统的人工智能系统这是BP网络,BP网络.大学生的心理健康学生的心理健康在MPP的数据库中,MPP的数据库数据库.在线评估分析在线评估分析

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