Research on Discrete Dynamic System Modeling of Vocal Performance Teaching Platform Based on Big Data Environment

Abstract

The traditional teaching model of national vocal music in colleges and universities has some problems, such as low quality of teaching, poor diversity of teaching, and low interest of students. Based on this, this study studies the innovation of the teaching model of national vocal music in colleges and universities based on the deep recurrent neural network algorithm and designs the teaching quality evaluation model based on the deep recurrent neural network algorithm. The collection of data and information is realized from the aspects of students’ class state, vocal music examination results, classroom interaction, etc., and the comprehensive analysis is carried out using the deep recursive neural network algorithm, to realize the multiple analysis and objective evaluation of the whole process of different teaching modes of national vocal music in music colleges and universities, according to the different characteristics and teaching objectives of the teaching process of national vocal music in music colleges and universities The standard requires accurate analysis and evaluation. The results show that the optimization model based on the deep recurrent neural network algorithm has the advantages of high feasibility, high intelligence, and wide range of applications. The experiments show that the deep recurrent neural network algorithm can analyze the effectiveness of the innovation model, and the fuzzy evaluation method can realize the comprehensive evaluation of the innovation mode, which is conducive to the improvement of students’ vocal music learning ability.

Design and research of music teaching system based on virtual reality system in the context of education informatization

“…The dynamic time normalization method is adopted for pattern matching, and the radial basis function algorithm is employed to output results. Gong (2022) [10] argued that the traditional teaching mode of ethnic vocal music in colleges has such problems as low teaching quality, poor teaching diversity, and low interest of students. Based on this, they studied the innovation of a national vocal music teaching model in colleges based on a Deep Recurrent Neural Network (DRNN) algorithm.…”

A PHP Framework-Based Web-Based Instruction Platform

“…In the modern age of knowledge explosion, how to learn better is a challenging issue for everyone. With the rapid development of computer technology and broadband networks, the university's comprehensive network teaching platform provides new means and methods for university teaching [5][6][7][8]. To some extent, the use of online teaching platforms represents a revolution in college education.…”

Modelling simulation of college vocal music teaching development path based on big data analysis

“…Sun, L pointed out that deepening the teaching reform comprehensively is an important consideration for colleges and universities [11]. Gong, X designed a teaching quality evaluation model, data and information from students' classroom status, vocal examination results, and classroom interaction were realized, and comprehensive analysis was conducted to achieve multivariate analysis [12].…”