Frontiers in Educational Research, 2023, 6(8); doi: 10.25236/FER.2023.060804.
Chen Shaohong1, Zhong Chun2, Dai Lingling3
1Institute of Foreign Languages, Guangzhou Huashang College, Guangzhou, Guangdong, China
2School of Creativity and Design, Guangzhou Huashang College, Guangzhou, Guangdong, China
3Library, Guangzhou Huashang Vocational College, Guangzhou, Guangdong, China
With the rapid development and wide spread of the Internet, network ideological and political education, as a new front of ideological and political education in universities, has become more and more important and necessary, and ideological and political workers in universities are also constantly carrying out in-depth research on the methods of network ideological and political education. This paper focuses on the effectiveness evaluation of university network ideological and political education methods, and obtains the effectiveness evaluation model of network ideological and political education methods in universities through PCA algorithm and MLP neural network; PCA algorithm is used to perform principal component analysis and dimensionality reduction on the data, and MLP neural network is used to train the data to obtain intuitive prediction and evaluation results. The experiment shows that the average error rate of the prediction model is 5.57%, and the calculation results have high accuracy and recognition ability.
university, network, ideological and political education, MLP, effectiveness
Chen Shaohong, Zhong Chun, Dai Lingling. Effectiveness Evaluation of Network Ideological and Political Education Method in Universities Based on MLP Neural Network. Frontiers in Educational Research (2023) Vol. 6, Issue 8: 28-37. https://doi.org/10.25236/FER.2023.060804.
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