基于改进多表达式编程的神经网络算法模型在英语教学实践中的应用

Q4 Decision Sciences
Yue Feng
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引用次数: 0

摘要

在英语教育领域,神经网络算法可以有效地预测和评估教学,显著提高教育教学质量。为此,提出了一种基于多表达式编程的神经网络英语教学评价预测模型。通过对神经网络和遗传算法的研究,发现柔性神经树不能同时对参数和结果进行优化。为此,提出了一种基于多表达式规划的神经网络算法模型(MEP)来解决该问题,并利用进化算法对模型参数进行优化,构建了MEP- nn英语教学评价模型。将该模型应用到英语教学过程中,实现对英语教学质量的评价。结果表明,在多种算法的均方误差性能测试中,经过500次迭代后实现收敛,MSE值为0.02,误差性能最佳;在英语课堂综合质量预测中,本文提出的MEP-NN算法预测精度最好,预测均值为86.56分,最接近86分的实际值,预测精度为94.56%。这表明所提出的MEP-NN算法具有优异的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An application of neural network algorithm model based on improved multi-expression programming in English language education practice
In the field of English education, neural network algorithm can effectively predict and evaluate teaching, and significantly improve the quality of education and teaching. Therefore, a neural network English teaching evaluation prediction model based on multi expression programming is proposed. Through the research on neural network and genetic algorithm (GA), it is found that flexible neural tree cannot optimise parameters and results at the same time. Therefore, a neural network algorithm model (MEP) based on multi expression programming is proposed to solve the problem, and the MEP-NN English teaching evaluation model is constructed by optimising the model parameters with evolutionary algorithm. The model is applied to the English teaching process to achieve the evaluation of English teaching quality. The results show that in the mean square error performance test of multiple algorithms, achieving convergence after 500 iterations, with an MSE value of 0.02 and the best error performance; in the English class comprehensive quality prediction, the proposed MEP-NN algorithm has the best prediction accuracy, with a prediction mean of 86.56 points, closest to the actual value of 86 score, with a prediction accuracy of 94.56%. This shows that the proposed MEP-NN algorithm has excellent performance.
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来源期刊
International Journal of Networking and Virtual Organisations
International Journal of Networking and Virtual Organisations Decision Sciences-Information Systems and Management
CiteScore
1.40
自引率
0.00%
发文量
25
期刊介绍: IJNVO is a forum aimed at providing an authoritative refereed source of information in the field of Networking and Virtual Organisations.
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