Intelligent Identification and Algorithmic Optimization of Chinese Traditional Music Elements in Dance Performance in the Internet Era

In this paper, a music recognition classification algorithm with deep confidence network is proposed mainly from the dimensions of pitch, pitch length, and song style, which are the basic elements of music. The dropout layer is embedded in both visible and hidden layers in the deep confidence network. And momentum is introduced to solve the problems of overfitting and weights jumping too fast. The importance of musical elements in dance performance is discussed through an in-depth analysis of the synergistic elements of dance performance. The dance performance videos of the Cheerleading Open 2022 and 2023 were used as research objects, and traditional music elements, tunes, emotions, and themes were identified and analyzed using an improved algorithm. The results showed that the total scores of musical rhythm and musical melody were above 210, ranking as the primary factors in the creation of dance performances. In the 2022 large group flower ball dance performance, traditional music was incorporated more than 90% of the time. By 2023, the use of traditional elements increased and the music became more innovative. 2022 double flower ball cheerleading also incorporated traditional music opera elements.