The Classification Model of the Network Electronic Music Based on the Chinese Traditional Opera Music

摘要

The electronic music has a unique sense of rhythms. In the process of the traditional classification of the electronic music, it is impossible to classify the multi-features in a fusion way. To this end, an electronic music classification model based on the multi-feature fusion and the neural network is designed. Create the feature fusion module, carry out the adaptive feature fusion, and adjust the frequency of the feature fusion according to the adaptive mechanism. Use the neural network elements to undertake the fusion feature factors to form a distributed multi-feature classification structure of the electronic music. Use the special frequency effect of the electronic music to complete the feature fusion classification, and realize the construction of the electronic music classification model. The experimental data show that the electronic music classification model designed can be classified by the feature fusion, and the classification results are very accurate.