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e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9–10, 2022, Proceedings, Part I

Research Article

Intelligent Course Scheduling Method of Single Chip Microcomputer Application Technology Based on Reinforcement Learning

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-21161-4_37,
        author={Jiaofeng Wu and Weiwei Zhang},
        title={Intelligent Course Scheduling Method of Single Chip Microcomputer Application Technology Based on Reinforcement Learning},
        proceedings={e-Learning, e-Education, and Online Training. 8th EAI International Conference, eLEOT 2022, Harbin, China, July 9--10, 2022, Proceedings, Part I},
        proceedings_a={ELEOT},
        year={2023},
        month={3},
        keywords={Reinforcement learning MCU application technology Intelligent course scheduling Course database},
        doi={10.1007/978-3-031-21161-4_37}
    }
    
  • Jiaofeng Wu
    Weiwei Zhang
    Year: 2023
    Intelligent Course Scheduling Method of Single Chip Microcomputer Application Technology Based on Reinforcement Learning
    ELEOT
    Springer
    DOI: 10.1007/978-3-031-21161-4_37
Jiaofeng Wu1, Weiwei Zhang1,*
  • 1: Guangdong Polytechnic of Environmental Protection Engineering
*Contact email: zhangwujiaofeng@163.com

Abstract

Considering that the single-chip microcomputer application technology course involves both theoretical and practical courses, and the single intelligent course scheduling method is only for theoretical or practical courses, the course scheduling time is long, and the course scheduling effect is reduced. Therefore, an intelligent course scheduling method based on reinforcement learning is designed. Collect the course scheduling data of single chip microcomputer application technology; Design intelligent course scheduling database based on reinforcement learning; Then realize the intelligent Course Scheduling of single chip microcomputer application technology. By means of comparative experiment, it is verified that the new method has shorter course scheduling time, better course scheduling effect and great promotion value.

Keywords
Reinforcement learning MCU application technology Intelligent course scheduling Course database
Published
2023-03-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-21161-4_37
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