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Neural Network Algorithm for English Teaching Evaluation

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Innovative Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 791))

Abstract

Aiming at the problem that the accuracy of English teaching quality evaluation is not high at present, this paper proposes a teaching quality evaluation method based on genetic algorithm (GA) and RBF neural network, GA is used to optimize the initial weights of RBF neural network. The experimental results show that the method can effectively evaluate the quality of English teaching, and has high accuracy and real-time performance.

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References

  1. Deng L, Zhang X (2017) Modeling and simulation of teaching quality promoting learning achievement evaluation. Comput Simul 34(7):158-161. https://doi.org/10.3969/lj2017.07.034. ISSN: 1006-9348

  2. Liu Y, Cai H, Zhang X (2014) Research on the evaluation index system of classroom teaching quality based on AHP. J Jiangsu Normal Univ (Educ Sci Ed) 5(1):45–47

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  3. Qi Y, Xin W (2018) Research on the evaluation model of teaching quality based on GA and BP neural network. J Inner Mongolia Univ (Nat Sci Ed) 49(2):204–211

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  4. Liu J, Yan R (2012) Voiceprint recognition based on genetic optimization RBF neural network. Inf Technol 36(5):168–170. https://doi.org/10.3969/lj.2012.05.0441. ISSN 1009-2552

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Author information

Authors and Affiliations

  1. Chongqing Vocational College of Architectural Technology, Chongqing, 401331, China

    Wenming Wu

Authors
  1. Wenming Wu
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Corresponding author

Correspondence to Wenming Wu .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung, Taiwan

    Jason C. Hung

  2. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

    Jia-Wei Chang

  3. Department of Computer Science and Engineering, University of Aizu, Fukushima, Japan

    Yan Pei

  4. Department of Finance, Feng Chia University, Taichung, Taiwan

    Wei-Chen Wu

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Cite this paper

Wu, W. (2022). Neural Network Algorithm for English Teaching Evaluation. In: Hung, J.C., Chang, JW., Pei, Y., Wu, WC. (eds) Innovative Computing . Lecture Notes in Electrical Engineering, vol 791. Springer, Singapore. https://doi.org/10.1007/978-981-16-4258-6_193

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  • DOI: https://doi.org/10.1007/978-981-16-4258-6_193

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-4257-9

  • Online ISBN: 978-981-16-4258-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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