Welcome to Francis Academic Press

International Journal of Frontiers in Engineering Technology, 2023, 5(12); doi: 10.25236/IJFET.2023.051212.

Evaluation Model of Study Style Based on Neural Network and TOPSIS


Jianguo Deng, Yuan Wang

Corresponding Author:
Jianguo Deng

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

Cite This Paper

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.


[1] Liu Haoran, Tang Shaoliang. Study on the equalization level of basic medical services in Jiangsu Province based on TOPSIS method and rank sum ratio method [J]. Chinese General Medicine, 2016pct 19 (7): 819-823. 

[2] Shih H S, Shyur H J, Lee E S. An extension of TOPSIS for group decision making [J]. Mathematical & Computer Modelling, 2007, 45 (7): 801,813. 

[3] Jian-Zhong X U , Sun Y .Study on the Environmental Innovation Capability Evaluation Model of Manufacturing Enterprises Based on Entropy Weight TOPSIS-BP Neural Network and Empirical Research[J]. 2018.DOI:10.1109/ICMSE.2018.8745309.

[4] Liu Panpan, Ren Guangyue, Duan continuous, Li Linlin, Zhao Lujie, Ren Xing, Miao Junwei. Evaluation of quality and flavor of white radish with different drying methods based on coefficient of variation method [J/OL]. Food and fermentation Industry: 1-11 [2022-03-31]. 

[5] Lei Mingfeng, Zhang Yunbo, Qin Guifang, Shi Yuanbo, Gong Chenjie, Zhang Yong, Gao Hongfei. Study on neural network evaluation model of blasting effect of mountain tunnel and optimization decision-making method of blasting parameters [J]. Modern Tunnel Technology, 2023 (02): 54-61. 

[6] Jiang Yuansheng. Research on vehicle Sound Insulation quality Evaluation Model based on BP Neural Network [D]. Fujian Institute of Engineering, 2022. 

[7] Zhu Yongjun, Wu Qiong, Zhan Zhongyu. Water quality evaluation based on principal component analysis and artificial neural network coupling model [J]. Jiangsu Water Conservancy, 2021 (08): 48-54.