sis 24(3):

Research Article

A Method of Applying Virtual Reality Converged Remote Platform Based on Crawfish Optimization Algorithm to Improve ESN Network

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  • @ARTICLE{10.4108/eetsis.4844,
        author={Lili Ma and Bin Xie and Fengjun Liu and Liying Ma},
        title={A Method of Applying Virtual Reality Converged Remote Platform Based on Crawfish Optimization Algorithm to Improve ESN Network},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={11},
        number={3},
        publisher={EAI},
        journal_a={SIS},
        year={2024},
        month={2},
        keywords={virtual reality technology application, foreign language, teleplatform construction, effect analysis, crayfish optimization algorithm, backward state neural network},
        doi={10.4108/eetsis.4844}
    }
    
  • Lili Ma
    Bin Xie
    Fengjun Liu
    Liying Ma
    Year: 2024
    A Method of Applying Virtual Reality Converged Remote Platform Based on Crawfish Optimization Algorithm to Improve ESN Network
    SIS
    EAI
    DOI: 10.4108/eetsis.4844
Lili Ma1,*, Bin Xie2, Fengjun Liu2, Liying Ma3
  • 1: Tangshan Preschool Teachers College
  • 2: Qing Gong College North University of Science and Technology, Tangshan 063000, Hebei, China
  • 3: Tangshan Guanghuadao Primary School, Tangshan 063000, Hebei, China
*Contact email: iammaryjie@163.com

Abstract

INTRODCTION: Immersive teaching and learning methods based on virtual reality-integrated remote platforms not only allow foreign language learners to learn in a vivid and intuitive learning environment, but also provide good conditions for multi-channel perceptual experiences of foreign language learners in terms of sight, sound and touch. OBJECTIVES: To address the problems of insufficiently systematic analysis and quantification, poor robustness and low accuracy of analysis methods in current effect analysis methods. METHODS: This paper proposes an effect analysis method of virtual reality fusion remote platform based on crawfish optimization algorithm to improve echo state network. First, the effect analysis system is constructed by analyzing the process of virtual reality fusion remote platform and extracting the effect analysis influencing elements; then, the echo state network is improved by the crayfish optimization algorithm and the effect analysis model is constructed; finally, the high accuracy of the proposed method is verified by the analysis of simulation experiments. RESLUTS: The proposed method improves the accuracy of the virtual reality fusion remote platform effect analysis model, the analysis time is 0.002s, which meets the real-time requirements, and the number of optimization convergence iterations is 16, which is better than other algorithms. CONCLUSION: The problems of insufficiently systematic analytical quantification of effect analysis methods, poor robustness of analytical methods, and low accuracy have been solved.