Lokesh N S

Evaluation model of english teaching effect based on neural network algorithm and support vector machine

• Authors Details :  
• Dr Lokesh N S ,  
• Dr Chandramma R

368 Views Original Article

Abstract- The role of support vector machine in the evaluation of English teaching effect is very important, but there is a problem of inaccurate evaluation of results. The traditional English teaching mode cannot solve the accuracy and efficiency of the effect evaluation of students' English teaching and cannot meet the requirements of English teaching effect evaluation. Therefore, this paper proposes a neural network algorithm to innovate and optimize the analysis of support vector machines. Firstly, the relevant theories are used to construct a multi-index English teaching effect evaluation system with teachers and students as the main body, and the indicators are divided according to the data requirements of English teaching effect evaluation indicators to reduce the support vector machine in the interfering factor. Then, the neural network algorithm is used to solve the optimal solution of kernel function parameters and regularization parameters of the support vector machine, and the support vector machine scheme is formed, and the support vector machine results are carried out Comprehensive analysis. MATLAB simulation shows that the evaluation accuracy of the English teaching effect of the neural network algorithm and the support vector machine under certain evaluation criteria Optimal, short evaluation time.

Article Subject Details

• Computational Mathematics
• Computer Science
• Computer Science Applications
• Information technology

Article Keywords Details

• Keywords- evaluation model; neural network algorithms; English language teaching; Support vector machines

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