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There are many evaluation methods of classroom teaching quality. Based on the analysis of the traditional evaluation methods, this paper puts forward the application of BP neural network theory in the evaluation of college classroom teaching quality. It not only solves the problems of qualitative indicators and quantitative indicators in the comprehensive evaluation index system, but also effectively overcomes the problems of establishing complex mathematical models and mathematical analytical expressions in the traditional evaluation process, and also avoids artificial subjective randomness, making assessment more effective and accurate, so as to open up a new method for the reasonable evaluation of classroom teaching quality.

Research on Maturity Evaluation Mechanism of Video Teaching in College English Teaching based on BP Neural Network Algorithm