Correlation analysis between subjective and objective evaluation data of automobile horn sound quality Online publication date: Mon, 29-Jan-2018
by Zhendong Zhao
International Journal of Vehicle Noise and Vibration (IJVNV), Vol. 13, No. 3/4, 2017
Abstract: Correlation analysis of subjective and objective evaluation for automobile sound quality is an important topic in automobile technology fields. Considering the theoretical characteristics of grey system method and neural network theory, grey relational analysis was applied to analyse the contributions of the variables of objective evaluation to subjective evaluation using the existing subjective and objective evaluation data of automobile horn sound quality. Then the main objective variables affecting the subjective feeling were determined, which include sound pressure level, A-weighted sound pressure level and sharpness. Back-propagation neural network model was designed and established as a quantitative expression between subjective and objective evaluation data. The simulation results of neural network model accorded with the original value of the subjective evaluation data very well, which illustrated the reliability of this method.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Noise and Vibration (IJVNV):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com