Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Optimization of Intelligent Evaluation of English Diagnosis System Based on Particle Swarm Optimization

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342638,
        author={Ping  Huang and Ping  Pan and Wan  Zhan},
        title={Optimization of Intelligent Evaluation of English Diagnosis System Based on Particle Swarm Optimization},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={particle swarm optimization english diagnosis intelligent evaluation optimization system},
        doi={10.4108/eai.17-11-2023.2342638}
    }
    
  • Ping Huang
    Ping Pan
    Wan Zhan
    Year: 2024
    Optimization of Intelligent Evaluation of English Diagnosis System Based on Particle Swarm Optimization
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342638
Ping Huang1,*, Ping Pan1, Wan Zhan1
  • 1: School of Economics and Business Foreign Languages, Wuhan Technology and Business University, Wuhan 430065, Hubei, China
*Contact email: huangping@wtbu.edu.cn

Abstract

With the rapid development of science and technology, people have put forward higher requirements for work efficiency and living environment. In order to better meet these requirements, various intelligent systems designed have also received more and more attention. In order to improve the quality and efficiency of English teaching, reduce the cost of teachers and better meet the needs of students, this paper proposes an intelligent evaluation optimization method for English diagnosis system. This paper mainly uses the methods of experiment and comparison to analyze the students' achievements. The experimental data shows that if the threshold value is between 0.2 and 0.3, it can be seen that the error rate is very high, so we need to refer to the new synthesis rules to repeat the calculation to avoid large diagnostic errors caused by incomplete corpus.