Fuzzy clustering based self-organizing neural network for real time evaluation of wind music

In order to improve the effectiveness of the evaluation of the form of Western wind music, this paper proposes a method for evaluating the form of Western wind music based on self-organizing neural network. First of all, aiming at the problem of Western form of wind music art presentation, this paper formulates a set of objective criteria that can be quantitatively expressed, and introduces the extraction methods of western wind tone features. Secondly, this paper considers the use of a fuzzy clustering method of constructing a self-organizing neural model for the proposed evaluation matrix to achieve the classification and evaluation of the artistic presentation of western wind music. Finally, an example is used to verify the validity of the proposed self-organizing neural model in the evaluation of the presentation form of western wind music.