数学教学质量评估系统设计及算法改进分析

Design and algorithm improvement analysis of mathematics teaching quality evaluation system

探讨改进误差反向传播(BP)算法对数学教学质量评估的优化问题。利用K-means聚类进行教学质量评估的数据收集,并确定样本的聚类中心。确定数学教学质量评估指标的权重和阀值,实现对教学质量评估的优化。MATLAB仿真结果显示:在0.1、0.01和0.001的误差条件下,改进BP算法对教学质量评估的准确性、评估效率均优于标准BP算法,与预期的教学质量目标基本一致。因此,改进BP算法可以准确地对数学教学质量进行评估,降低其他因素对教学质量评估结果的影响。

This paper discusses the optimization problem of improved error back propagation(BP)algorithm for mathematics teaching quality evaluation.K-means clustering is used to collect data for teaching quality assessment,and the clustering center of samples is determined.The weight and threshold of mathematics teaching quality evaluation index are determined to optimize the teaching quality evaluation.MATLAB simulation results show that under the error conditions of 0.1,0.01 and 0.001,the accuracy and efficiency of the improved BP algorithm for teaching quality evaluation are better than the standard BP algorithm,which is basically consistent with the expected teaching quality objectives.Therefore,the improved BP algorithm can accurately evaluate the teaching quality and reduce the influence of other factors on the teaching quality evaluation results.