Evaluation of English Teaching Quality Based on GA Optimized RBF Neural Network
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    Abstract:

    Aiming at the inaccuracy of English teaching quality evaluation, a teaching quality evaluation method based on Genetic Algorithm (GA) to optimize RBF neural network is proposed. Firstly, the principal component analysis is used to select the evaluation index of teaching quality, then the RBF neural network teaching evaluation model is designed, and the initial weight of RBF neural network is optimized by GA. The experimental results show that the method can effectively evaluate the quality of English teaching, and has high accuracy and real-time.

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张居设.基于 GA 优化 RBF 神经网络的英语教学质量评价.计算机系统应用,2020,29(3):167-172

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History
  • Received:July 29,2019
  • Revised:September 03,2019
  • Adopted:
  • Online: March 02,2020
  • Published: March 15,2020
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