International Journal of Frontiers in Engineering Technology, 2023, 5(12); doi: 10.25236/IJFET.2023.051212.
Jianguo Deng, Yuan Wang
College of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, 300222, China
Through the establishment of neural network model and weighted TOPSIS comprehensive evaluation model, this paper analyzes the course learning quality of university process assessment. First of all, a descriptive analysis is carried out, the main influencing factors of students' learning attitude are found, and a neural network model reflecting students' attitude is established and verified. Then the study style and class style of colleges and classes are evaluated reasonably by using TOPSIS comprehensive evaluation model, and the weights are calculated and optimized for the second time, and the optimized weights and corresponding scores are obtained. It is found that the three colleges with the best style of study are [308833, 308861, 308882], and the five classes with the best style of study are [16111009, 16111047, 16110895, 16110975, 16110938,16110894].
Neural network, Gaussian distribution, Entropy method, Coefficient of variation method, TOPSIS comprehensive evaluation analysis
Jianguo Deng, Yuan Wang. Evaluation Model of Study Style Based on Neural Network and TOPSIS. International Journal of Frontiers in Engineering Technology (2023), Vol. 5, Issue 12: 71-79. https://doi.org/10.25236/IJFET.2023.051212.
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