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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

Construction of Multimedia Online Education Platform Based on Fuzzy Neural Network

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-21161-4_13,
        author={Dan Yu},
        title={Construction of Multimedia Online Education Platform Based on Fuzzy Neural Network},
        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={Fuzzy neural network Multi-media Online education platform Data mining Resource scheduling Cloud computing},
        doi={10.1007/978-3-031-21161-4_13}
    }
    
  • Dan Yu
    Year: 2023
    Construction of Multimedia Online Education Platform Based on Fuzzy Neural Network
    ELEOT
    Springer
    DOI: 10.1007/978-3-031-21161-4_13
Dan Yu1,*
  • 1: Media College, Hulunbuir University
*Contact email: yudan5698@126.com

Abstract

The current multimedia online education platform has low resource utilization and response rate. In order to effectively solve this problem, this paper will study the construction of multimedia online education platform based on fuzzy neural network. The hardware framework of online education platform is built with FPGA as the control core, and the platform resources are mined and processed by fuzzy neural network. Use cloud computing to design platform resource scheduling and improve platform operation efficiency. Through experiments, it is verified that the recommendation accuracy of the platform is higher than 90%, the response rate and processing speed of the platform are significantly improved, and the practical application effect is better.

Keywords
Fuzzy neural network Multi-media Online education platform Data mining Resource scheduling Cloud computing
Published
2023-03-09
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-21161-4_13
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