Research on Internet Music Retrieval Technology Based on Neural Network Algorithms

With the Internet becoming an important channel for music dissemination, music retrieval technology has become a major hotspot on the internet. How to quickly and effectively find the required music in the vast music library is a very meaningful research. The text first received theoretical research and recognition for traditional music retrieval methods, but they themselves have some shortcomings and shortcomings, especially in the era of the Internet's pursuit of more intelligence, which increasingly requires the application of retrieval technology. For example, combining data mining technology with the Shenjing network can improve the performance and optimization of music retrieval. Finally, this article proposes three methods to be reasonably applied to music retrieval, namely retaining traditional retrieval methods. Based on this, a music retrieval method combining adaptive retrieval technology for feature recognition/extraction and SVM algorithm content feedback-based classification music deceleration technology is proposed.