基于BP神经网络算法的英语智能辅助教学系统数据分析研究

Yinghui Wang
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引用次数: 0

摘要

本研究将BP神经网络应用于英语教学辅助系统中,确定BP神经网络的参数,然后利用某高校学生英语考试数据对系统进行训练和测试。结果表明,在参数固定的情况下,系统可以满足误差要求。通过对教辅系统测试集数据的性能测试和测试后的对比,结果表明预测结果产生的误差能够满足该类系统的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on data analysis of English intelligent assistant teaching system based on BP neural network algorithm
This study applies BP neural network to English teaching assistant system, confirms the parameters of BP neural network, then uses the students’ English test data of a university to train and test the system. The results show that the system can meet the error requirements when the parameters are fixed. Through the performance test of the test set data of the teaching aid system and comparison after the test, the results show that the error generated by the prediction results can meet the requirements of this kind of system.
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