Abstract
In order to promote the development of education, multi-layer feedforward neural network is applied to the teaching quality evaluation process, and a new evaluation method is proposed. The evaluation model based on multilayer feedforward neural network is established. The experiment data is used to compare the results of the experimental group and the control group. The results show that the application of multilayer feedforward neural network to the evaluation of teaching quality can reduce the error between the target output and the actual output, and make the quality evaluation result more in line with the actual situation.
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© 2020 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Song, Y., Jiang, T. (2020). Teaching Quality Evaluation Method Based on Multilayer Feedforward Neural Network. In: Liu, S., Sun, G., Fu, W. (eds) e-Learning, e-Education, and Online Training. eLEOT 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-63952-5_27
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DOI: https://doi.org/10.1007/978-3-030-63952-5_27
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