Research Article
Design of Ideological and Political Online Education System Based on Neural Network
@INPROCEEDINGS{10.1007/978-3-030-94554-1_31, author={Gui-yan Quan}, title={Design of Ideological and Political Online Education System Based on Neural Network}, proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2022}, month={1}, keywords={Neural network Ideological politics Online education system Feature extraction}, doi={10.1007/978-3-030-94554-1_31} }- Gui-yan Quan
Year: 2022
Design of Ideological and Political Online Education System Based on Neural Network
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-94554-1_31
Abstract
In order to improve the performance of the traditional online ideological and political education system, the design of the online ideological and political education system based on neural network is proposed. According to the background of the online ideological and political education project and the analysis of the system demand, the neural network is applied to the structure design of the online ideological and political education system, and the online ideological and political education system module is designed by using the information acquisition module, the standardization module, the self-training module, the self-defining module and the management module of the information model of the online ideological and political education. The online ideological and political education system module is designed by using the language model education module, the optimization module of educational results, the text input management module and the output management module of educational results. The test results show that the online ideological and political education system based on neural network has better performance.
