现代科学仪器2024，Vol.41Issue(4)：239-244,6.
基于SSA-BP算法的高校教育管理质量评价模型研究
Construction of Quality Evaluation Model for Educational Management in Colleges and Universities Based on SSA-BP Algorithm
摘要
Abstract
The quality of university education management is an important link in ensuring the quality of university education.Assessing it can provide reference for decision-making and direction of school education development,while also monitoring the specific benefits of current education direction and decision-making.A new model for evaluating the quality of university education management is proposed by combining sparrow search algorithm to improve BP neural network to improve the accuracy and reliability of quality assessment.The experiment shows that the optimized neural network has an average absolute error of 3.4907,a root mean square error of 4.4245,an average absolute percentage error of 0.77%,a prediction accuracy of 99.23%,and an algorithm running time of 214.13 seconds.The accuracy error between the expected output value of the model and the actual output value is only 1.5%,indicating that the quality evaluation model in this study has good evaluation ability and provides a certain basis for decision-making in university education management.关键词
麻雀搜索算法/BP神经网络/高校教学质量/评价模型Key words
Sparrow search algorithm/BP neural network/Teaching quality in universities/Evaluation model分类
教育学引用本文复制引用
王丽佳,张文台..基于SSA-BP算法的高校教育管理质量评价模型研究[J].现代科学仪器,2024,41(4):239-244,6.基金项目
2019年度肇庆学院学生事务管理精品项目:供给侧结构改革背景新时代大学生就业能力培养及就业平台建设(ZQJPZD-2019009) （ZQJPZD-2019009）
