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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Wang, J., Zheng, H., Li, W., et al.: Online education governance in the era of intelligence: connotation, dilemma and breakthrough. E-educ. Res. 42(07), 54–60 (2021)
Zhu, C., Sun, B., Jin, X., et al.: Construction of the experimental teaching and training platform for cyberspace security attack and defense. Res. Explor. Lab. 40(06), 265–267+275 (2021)
Wu, Z., Zhong, C., Yin, J., et al.: The construction and evaluation of the ubiquitous practical teaching platform based on activity theory. Res. High. Educ. Eng. (06), 194–200 (2020)
Tan, Z., Jiang, X.: Research on interaction design of online learning platform based on FBM behavior model. Packag. Eng. 41(4), 189–194 (2020)
Chen, X.J., Song, C.J.: Research and design of online learning platform based on mobile Internet. Microcomput. Appl. 35(1), 35–38 (2019)
Chen, J.: Research on the application of online education platform support technology in mobile terminal. China Educ. Technol. (08), 118–122 (2017)
Fang, J., Shi, Z., Liu, L.: Migrating to 5g online education platforms: an empirical study on the influence mechanism of leaners’ behavior. Mod. Distance Educ. Res. 31(06), 22–31 (2019)
Zhang, Z., Chen, J.: Construction practice of cloud experiment teaching system for information security specialty based on cloud platform. Exp. Technol. Manag. 38(09), 251–255 (2021)
Jiao, K., Xu, K.: Research on MPPT of photovoltaic power generation based on neural network and fuzzy control. Comput. Simul. 37(5), 71–76 (2020)
Zhang, J., Chen, Z., Cao, Z., et al.: Evaluation of teachers’ online learning platform based on user experience. Mod. Educ. Technol. 31(10), 59–67 (2021)
Li, X., Liang, H., Feng, J., et al.: Design of personalized learning resource recommendation system in online education platform. Comput. Technol. Dev. 31(2), 143–149 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Yu, D. (2022). Construction of Multimedia Online Education Platform Based on Fuzzy Neural Network. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-21161-4_13
Download citation
DOI: https://doi.org/10.1007/978-3-031-21161-4_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-21160-7
Online ISBN: 978-3-031-21161-4
eBook Packages: Computer ScienceComputer Science (R0)