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An AI-based virtual simulation experimental teaching system in space engineering education

机译:太空工程教育基于AI的虚拟仿真实验教学系统

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In recent years, cognitive computing has represented an artifical intelligence (AI)-based application of the next-generation interaction among human beings. This study analyses the cognitive internet of things and proposes a Soft K-Means Fuzzy Clustering approach. The paper presents the data collection procedure from the space applications, the data analysis by cognitive computing, and the ways of overcoming problems of scalability and flexibility. The interactions between robot team members and people become necessary for many real-life applications. This study mainly focuses on the precision and complexity of the model, time of computation, and scalability. Furthermore, it demonstrates the AI's ability to enhance the communication skills of the multirobot team by making complex activities to carry out all tasks more effectively.
机译:近年来,认知计算已经代表了基于人类中一代相互作用的基于人物的智能(AI)。本研究分析了事物的认知互联网,并提出了一种软的K-Means模糊聚类方法。本文从空间应用中提出了数据收集程序,通过认知计算的数据分析以及克服可扩展性和灵活性问题的方式。机器人团队成员和人们之间的互动成为许多现实生活应用程序所必需的。本研究主要侧重于模型,计算时间和可扩展性的精度和复杂性。此外,它通过制作复杂的活动来展示AI通过制作复杂的活动更有效地执行所有任务的能力来提高多利话团队的沟通技巧。

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