Construction of Quality Evaluation Model for Educational Management in Colleges and Universities Based on SSA-BP Algorithm
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.
Sparrow search algorithmBP neural networkTeaching quality in universitiesEvaluation model
国家科技期刊平台
NSTL
万方数据
