<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper proposes the evaluation method of college education management mode based on deep belief network (DBN), establishes the evaluation index of college education management mode, takes it as the input of the deep belief network, adopts the divergence algorithm and backpropagation algorithm to learn and optimize the parameters of the deep belief network, and establishes the evaluation model of the education management mode of universities. The evaluation method of the college education management model evaluation of the deep belief network is verified by evaluating the results and performing error analysis on 438 questionnaire test samples. The results show that the number of training steps of the adopted DBN model in the supervised tuning stage is 214, and the error fluctuation range is ±0.6, which achieves the expected effect, indicating that the adoption of the model has accuracy in the evaluation of college education management model. Under the concept of data analysis education, the evaluation method proposed in this paper has a positive significance for the innovation and practice of educational and teaching management systems.</p>
</abstract>

This paper proposes the evaluation method of college education management mode based on deep belief network (DBN), establishes the evaluation index of college education management mode, takes it as the input of the deep belief network, adopts the divergence algorithm and backpropagation algorithm to learn and optimize the parameters of the deep belief network, and establishes the evaluation model of the education management mode of universities. The evaluation method of the college education management model evaluation of the deep belief network is verified by evaluating the results and performing error analysis on 438 questionnaire test samples. The results show that the number of training steps of the adopted DBN model in the supervised tuning stage is 214, and the error fluctuation range is ±0.6, which achieves the expected effect, indicating that the adoption of the model has accuracy in the evaluation of college education management model. Under the concept of data analysis education, the evaluation method proposed in this paper has a positive significance for the innovation and practice of educational and teaching management systems.

Innovation and Practice of Educational Management System in Colleges and Universities Based on the Concept of Data Analysis Education

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper proposes the evaluation method of college education management mode based on deep belief network (DBN), establishes the evaluation index of college...

Innovation and Practice of Educational Management System in Colleges and Universities Based on the Concept of Data Analysis Education

Publicado en línea: 29 nov 2023

Páginas: -

Recibido: 08 mar 2023

Aceptado: 09 jun 2023

DOI: https://doi.org/10.2478/amns.2023.2.01303

Palabras clave
Deep belief networks, College education management, Divergence algorithm, Backpropagation algorithm, Supervised tuning

© 2023 Jia Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Innovation and Practice of Educational Management System in Colleges and Universities Based on the Concept of Data Analysis Education

Publicado en línea: 29 nov 2023

Páginas: -

Recibido: 08 mar 2023

Aceptado: 09 jun 2023

DOI: https://doi.org/10.2478/amns.2023.2.01303

Palabras claveDeep belief networks, College education management, Divergence algorithm, Backpropagation algorithm, Supervised tuning

© 2023 Jia Liu, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Palabras clave
Deep belief networks, College education management, Divergence algorithm, Backpropagation algorithm, Supervised tuning