误差反向传播算法在高校学生学籍管理中的应用研究

IF 1.5 Q2 EDUCATION & EDUCATIONAL RESEARCH
XinXiu Yang
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引用次数: 0

摘要

这项工作的目的是根据高校学生状态管理(SSM)中的信息预测学生的就业率。首先,介绍了 SSM 的相关内容。其次,介绍了 BP(反向传播)神经网络、LM(莱文伯格-马夸特)算法和 BR(贝叶斯正则化)算法。此外,将 LM 算法与 BR 算法相结合,对 BP 神经网络进行优化,从而建立基于 LM-BP 神经网络的高校毕业生就业率预测模型(已建立的预测模型)。最后,利用大数据分析技术对 SSM 中大学生的历史数据进行管理和处理,验证了所建立的预测模型。结果表明,所建立的预测模型具有更高的预测精度、更稳定的预测性能、更理想的预测效果和更高的实际应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the Application of Error Back-Propagation Algorithm Applied to the Student Status Management in Higher Education Institutions
The objective of this work is to predict the employment rate of students based on the information in the SSM (student status management) in colleges and universities. Firstly, the relevant content of SSM is introduced. Secondly, the BP (Back Propagation) neural network, the LM (Levenberg Marquardt) algorithm, and the BR (Bayesian Regularization) algorithm are introduced. In addition, the LM algorithm is combined with the BR algorithm to optimize the BP neural network, so as to establish a prediction model of the employment rate of college graduates based on the LM-BP neural network (the established prediction model). Finally, the established prediction model is verified after the historical data of college students in the SSM are managed and processed using the big data analysis technology. It suggests that the established prediction model shows higher prediction accuracy, more stable prediction performance, more ideal prediction effect, and higher practical application value.
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来源期刊
CiteScore
4.20
自引率
10.00%
发文量
26
期刊介绍: IJICTE publishes contributions from all disciplines of information technology education. In particular, the journal supports multidisciplinary research in the following areas: •Acceptable use policies and fair use laws •Administrative applications of information technology education •Corporate information technology training •Data-driven decision making and strategic technology planning •Educational/ training software evaluation •Effective planning, marketing, management and leadership of technology education •Impact of technology in society and related equity issues
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