An Electronic Music Classification Model Based on Machine Learning Algorithm to Optimize Children's Neural Network

With the development of society, people pay more attention to children's brain development. Among them, electronic music is an important part of optimizing children's neural networks, so the classification of electronic music is particularly important, ordinary methods can not solve the problem of optimizing music in children's neural networks, and the classification is not accurate. Therefore, this paper proposes a machine learning algorithm to innovate and create accurate music analysis. First, artificial intelligence is used to analyze music content, and indicators are divided according to music requirements to reduce music in the interfering factor. The influence of electronic music on children's growth and education has gradually attracted attention. However, the research on electronic music classification based on children's neural network is rare. The purpose of this paper is to explore how to use machine learning algorithm to classify electronic music of children's neural network, so as to improve children's cognition and understanding of music.