Integration and Sharing Method of Chorus Music Education Big Data Based on Reinforcement Learning

In order to ensure the integration and sharing effect of Big data in chorus music education and shorten the integration and sharing time of Big data in chorus music education, a Big data integration and sharing method for chorus music education based on Reinforcement learning is designed. According to the principles of integrity, consistency, least constraint, etc., describe the choral music education Big data integration object, and build the choral music education Big data integration ontology. The limited choral music education Big data is shared with parameters, and the Activation function is used to divide the choral music education data sharing interval. Generate choral music data class integration sequence based on Reinforcement learning, divide the choral music education Big data into class clusters, analyze the complex class relationships of each class cluster, and reduce the complexity of data integration and sharing. The experimental results show that the proposed method has lower integration sharing complexity, good integration sharing effect, and can effectively shorten integration sharing time.