Abstract
AbstractAiming 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.KeywordsEnglish teachingQuality evaluationRBF neural networkGenetic algorithmPrincipal component analysis
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