The Application of Music in Opera Stage and Virtual Art Training Based on Multiple Regression and Utility Function

DOI

10.2991/msie-13.2013.74How to use a DOI?

Keywords

music, marginal utility decline law, expert assessment method, opera, virtual art training

Abstract

Music plays an important role in operas and virtual art training and this article explains the music applications in different aspects. Music and performing are the two cornerstones in opera coordinated development. Through analyzing the utility function and marginal utility function of the audience attraction to the performance, the utility function of the audience to the music will be got, which states that the music application in opera stage differs in different periods. The music has improved the virtual art training. This article regards learning time, actual operation capacity, teaching interaction and timeliness of teaching, which are the 4 concerned aspects of virtual art training, as the study objects. Multiple linear regression function and expert assessment methods are employed to analyze the effects of the music on the four aspects; taking the animation training as an example, the musical application analysis to the virtual art training is ultimately got.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zhiyong Huang
PY  - 2013/11
DA  - 2013/11
TI  - The Application of Music in Opera Stage and Virtual Art Training Based on Multiple Regression and Utility Function
BT  - Proceedings of the 2nd International Conference on Management Science and Industrial Engineering
PB  - Atlantis Press
SP  - 350
EP  - 353
SN  - 1951-6851
UR  - https://doi.org/10.2991/msie-13.2013.74
DO  - 10.2991/msie-13.2013.74
ID  - Huang2013/11
ER  -