Music Art Teaching Quality Evaluation System Based on Convolutional Neural Network

Abstract

With the rapid growth of music and art education in colleges and universities today, the development of associated teaching quality assessment (TQE) is still in its infancy. In truth, most modern music and art education has yet to build a rigorous and appropriate evaluation system based on actual classroom teaching quality. Simply adopting classroom TQE indicators and approaches from other disciplines would unavoidably lead to formalization of music TQE findings in some schools and institutions. It has no bearing on evaluation, feedback, or advancement. Therefore, this paper uses the superior performance of neural network to solve nonlinear problems and constructs a music art TQE method based on convolutional neural network (CNN). The completed work is as follows: (1) The basic situation of domestic and foreign research on music art TQE is introduced. Several commonly used TQE methods at home and abroad are analyzed, and the CNN evaluation method is comprehensively introduced. (2) The principle and network structure of CNN are expounded, and a TQE system conforming to music art is constructed. (3) The final experimental results reveal that the CNN model has higher accuracy and better performance than the BP neural network when using the trained CNN, TQE model to conduct tests.

Evaluation of Music Art Teaching Quality Based on Grey Neural Network

“…It has no bearing on evaluation, feedback, or advancement. Terefore, the superior performance of neural network is used [19] to solve nonlinear problems and construct a music art TQE method based on convolutional neural network (CNN) while other infuential works are discussed in [20].…”

“…In the past, traditional machine learning often used manual extraction of target features for model training [16,20]. In the feld of music, it mainly used basic data such as loudness, frequency, and beat.…”

Design And Realization of A Comprehensive Quality Assessment System for College Students Based on the Bp Neural Network

“…These parameters serve as inputs to the BP neural network, providing the data necessary for analysis and evaluation. Next, data collection and preprocessing are essential steps to ensure the quality and reliability of the input data [14]. This may involve gathering academic records, survey responses, performance evaluations, and other relevant information from various sources within the college ecosystem.…”

Retracted: Music Art Teaching Quality Evaluation System Based on Convolutional Neural Network

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”