Retracted Gold Open Access 2021

Retraction:Application of Optimized GA-BPNN Algorithm in English Teaching Quality Evaluation System

ZY
Zhu, Yaowu
 XJ
Xu, Junnong
 ZS
Zhang, Sihong
Computational Intelligence and Neuroscience
Journal · Vol. 2021 · Art. 4123254
Abstract

The assessment of teaching quality is a very complex and fuzzy nonlinear process, which involves many factors and variables, so the establishment of the mathematical model is complicated, and the traditional evaluation method of teaching quality is no longer fully competent. In order to evaluate teaching quality effectively and accurately, an optimized GA-BPNN algorithm based on genetic algorithm (GA) and backpropagation neural network (BPNN) is proposed. Firstly, an index system of teaching quality evaluation is established, and a questionnaire is designed according to the index system to collect data. Then, an English teaching quality evaluation system is established by optimizing model parameters. The simulation shows that the average evaluation accuracy of the GA-BPNN algorithm is 98.56%, which is 13.23% and 5.85% higher than those of the BPNN model and the optimized BPNN model, respectively. The comparison results show that the GA-BPNN algorithm in teaching quality evaluation can make reasonable and scientific results. © 2021 Yaowu Zhu et al.

Keywords

Author Keywords

Not provided

Index Keywords

Quality control Evaluation methods theoretical model Neural Networks, Computer algorithm Quality evaluation Genetic algorithms Back-propagation neural networks computer simulation English teaching Teaching quality Indices systems Quality evaluation system Models, Theoretical Neural network models Backpropagation neural network algorithms Neural network model Nonlinear process Algorithms
Author Affiliations
Editorial Office of the Journal, Anhui Vocational College of Grain Engineering, Hefei, Anhui, China, Institute of Psychology Chinese Academy of Sciences, Beijing, China
School of Foreign Languages, Hefei Normal University, Hefei, China
School of Foreign Studies, Hefei University of Technology, Hefei, Anhui, China
Funding & Acknowledgements
No funding information
References 10 References
1 Ait Hammou, Badr, Towards a real-time processing framework based on improved distributed recurrent neural network variants with fastText for social big data analytics, Information Processing and Management, 57, 1, (2020)
2 Research and Exploration in Laboratory, (2019)
3 Yao, Yuantao, Small-batch-size convolutional neural network based fault diagnosis system for nuclear energy production safety with big-data environment, International Journal of Energy Research, 44, 7, pp. 5841-5855, (2020)
4 Mathematics in Practice and Theory, (2017)
5 Education Forum, (2017)
6 Parwez, Md Salik, Big data analytics for user-activity analysis and user-anomaly detection in mobile wireless network, IEEE Transactions on Industrial Informatics, 13, 4, pp. 2058-2065, (2017)
7 Cerro, Jesus Santos Del, Teaching quality: The satisfaction of university students with their professors, Anales de Psicologia, 36, 2, pp. 304-312, (2020)
8 Education Modernization, (2018)
9 Modern Vocational Education, (2018)
10 Liu, Yue, Research on teaching reform of rehabilitation nursing major based on modern apprenticeship system, Frontiers of Nursing, 8, 2, pp. 177-192, (2021)
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