In the process of analyzing the quality of music education, the evaluation process is very complex, and whether it can effectively analyze syllables, melodies and other indicators has become the focus of research, so this paper conducts a comprehensive analysis on the basis of this, evaluates the rhythm and melody of music, determines its optimization degree and optimization results, and uses simulation analysis to study, and verifies that the neural network model of the intelligent analysis method proposed in the process of music analysis will have an impact on music. The comprehensive judgment of the construction of the melody pattern can improve the overall creative level, and the improvement of the creative level is greater than 10%, which can comprehensively apply the music elements and provide its comprehensive analysis method, and the improvement degree can reach 15%, so the method of intelligent neural network analysis can promote the overall development of music.

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The Quality Assessment Algorithm of Music Art Education Based on Artificial Neural Network Model

  • Xiaochan Li,
  • Zhihua Peng

摘要

In the process of analyzing the quality of music education, the evaluation process is very complex, and whether it can effectively analyze syllables, melodies and other indicators has become the focus of research, so this paper conducts a comprehensive analysis on the basis of this, evaluates the rhythm and melody of music, determines its optimization degree and optimization results, and uses simulation analysis to study, and verifies that the neural network model of the intelligent analysis method proposed in the process of music analysis will have an impact on music. The comprehensive judgment of the construction of the melody pattern can improve the overall creative level, and the improvement of the creative level is greater than 10%, which can comprehensively apply the music elements and provide its comprehensive analysis method, and the improvement degree can reach 15%, so the method of intelligent neural network analysis can promote the overall development of music.