The Influence and Analysis of Artificial Neural Network on Higher Education Management System
Data publikacji: 27 lut 2025
Otrzymano: 26 wrz 2024
Przyjęty: 09 sty 2025
DOI: https://doi.org/10.2478/amns-2025-0127
Słowa kluczowe
© 2025 Zhichao Shen, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
By looking up information on the Internet and reading books, I found 20 research reports about BP neural network. After careful analysis and research, we found some major problems in the BP neural network, through these problems, we found a lot of obstacles to the development of this project: although we can access a lot of information on the Internet, most of them have not been further studied, therefore, there is not much literature to attract more people to study. Therefore, the development of BP neural network is slow; Secondly, the research of each experimental project has its significance of existence, which is divided into practical significance and educational significance, while most of the literature only has educational significance, and does not play its practical significance, that is, it has not been really used and developed in society. The practical significance is often much greater than educational significance, the lack of practical application of scientific research projects is unsuccessful, so the next paper will study and analyze the practical application of teaching quality evaluation in Colleges and universities. Based on the urgent problem that there are many defects in teaching quality evaluation in colleges and universities, this paper puts forward a solution, that is, a teaching quality evaluation software based on BP neural network, through how to achieve this initiative, the experimental proof, hope that this paper can be helpful to the teaching quality evaluation of colleges and universities.