Research on Optimizing Knowledge Architecture in College Education Management Using Convolutional Neural Networks

Research Center for Applied Mathematics and Interdisciplinary Sciences, Advanced Institute of Natural Sciences, Beijing Normal University at ZhuhaiZhuhai, China

Liu, Bing

College of Education for the Future, Beijing Normal University at ZhuhaiZhuhai, China

Mi, Honghai

Research Center for Applied Mathematics and Interdisciplinary Sciences, Advanced Institute of Natural Sciences, Beijing Normal University at ZhuhaiZhuhai, China

Język:: Angielski

Częstotliwość wydawania:: 1 razy w roku
Dziedziny czasopisma:: Nauki biologiczne, Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka, Fizyka, inne

Kanał RSS czasopisma

Research on Optimizing Knowledge Architecture in College Education Management Using Convolutional Neural Networks

Siyuan Liu

Bing Liu

Honghai Mi

Data publikacji: 04 paź 2024

Otrzymano: 26 maj 2024

Przyjęty: 31 sie 2024

DOI: https://doi.org/10.2478/amns-2024-2707

Słowa kluczoweConvolutional neural network, Entity-relationship extraction, Knowledge system structure, University education management

© 2024 Siyuan Liu et al., published by Sciendo

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

Słowa kluczowe
Convolutional neural network, Entity-relationship extraction, Knowledge system structure, University education management