Evaluation of Music Art Teaching Quality Based on Grey Neural Network

Author:

Liu Fengqin1ORCID,Wu Jinhua1

Affiliation:

1. Fujian Institute of Education, No. 73 Mengshan Road, Gulou, Fuzhou, Fujian 350001, China

Abstract

The study and implementation of music art teaching quality monitoring systems as a major teaching management project in Chinese colleges and universities has been in continuation for a decade. An essential challenge in the management of colleges and universities is that how to assess the teaching abilities of music and art professors fairly and objectively. The system is designed and implemented by separating the front end and back end of browser + server to provide examination services in the way of cloud computing. This system primarily gathers the students’ multidimensional data including sound intensity, pitch, and beat. Then a grey neural network is used to analyze the students’ sound intensity, pitch, and beat. After evaluation process, the scores of the final examination in colleges and universities are uploaded to the backstage server in real-time.

Funder

Fujian Province Social Science Planning Fund Project

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Computer Science Applications

Reference20 articles.

1. Analysis on the influencing factors of Beijing’s GDP;S. Zhao;Journal of Jiamusi University,2017

2. NiuJ.GDP Forecast of Jiangxi Province Based on Neural Network Optimized by Grey Genetic Algorithm2016Jingdezhen, ChinaJingdezhen: Master’s thesis of Jingdezhen Ceramic University2527Master’s thesis

3. Trend und Zyklus im Bruttoinlandsprodukt der Bundesrepublik Deutschland / Trends and Cycles in the Gross Domestic Product of the Federal Republic of Germany

4. Research on Jiangsu per capita GDP forecast based on time series;J. Chen;Journal of Nanjing Institute of Engineering,2015

5. Multiple Regression Analysis of Diversification Effect on GDP Per Capita: The Case of UAE & Saudi Arabia

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