Evaluation model of college English teaching effect based on particle swarm algorithm and support vector machine

Anlin Hu

doi:10.1117/12.2659964

22 November 2022 Evaluation model of college English teaching effect based on particle swarm algorithm and support vector machine

Anlin Hu

Author Affiliations +

Proceedings Volume 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022); 124751Y (2022) https://doi.org/10.1117/12.2659964
Event: Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 2022, Hulun Buir, China

Abstract

This paper studies the evaluation model of higher vocational English teaching effect based on particle swarm optimization and support vector machine classification. Based on the relevant theories, the model constructs a multi index evaluation system of English teaching effect in higher vocational colleges, which takes teachers and students as the main body. This model improves the accuracy and efficiency of English teaching evaluation in higher vocational colleges and meets the requirements of English teaching evaluation in higher vocational colleges. The experimental results show that this method has a good effect on the evaluation of English teaching in higher vocational colleges. The average evaluation accuracy is 97.1%, the evaluation time is short, and the test time is as low as 6ms.

Citation Download Citation

Anlin Hu "Evaluation model of college English teaching effect based on particle swarm algorithm and support vector machine", Proc. SPIE 12475, Second International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2022), 124751Y (22 November 2022); https://doi.org/10.1117/12.2659964

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