Prediction of the Sound Absorption Performance of Polymer Wool by Using Artificial Neural Networks Model

被引：0
|
作者：
Chen, Shuming [1 ,2 ]
Huang, Yawei [1 ]
Wang, Dengfeng [1 ,2 ]
Peng, Dengzhi [1 ]
Song, Xuewei [1 ]
机构：
[1] Jilin Univ, Changchun, Jilin, Peoples R China
[2] Jilin Univ, State Key Lab Automot Simulat & Control, Changchun 130022, Peoples R China
来源：
SAE INTERNATIONAL JOURNAL OF PASSENGER CARS-MECHANICAL SYSTEMS | 2014年 / 7卷 / 01期
基金：
中国博士后科学基金;
关键词：
Forecasting - Neural networks - Linear regression - Sound insulating materials - Yarn - Acoustic wave absorption;
D O I：
10.4271/2014-01-0889
中图分类号：
U [交通运输];
学科分类号：
08 ; 0823 ;
摘要：
This paper proposes a new method of predicting the sound absorption performance of polymer wool using artificial neural networks (ANN) model. Some important parameters of the proposed model have been adjusted to best fit the non-linear relationship between the input data and output data. What's more, the commonly used multiple non-linear regression model is built to compare with ANN model in this study. Measurements of the sound absorption coefficient of polymer wool based on transfer function method are also performed to determine the sound absorption performance according to GB/T18696. 2-2002 and ISO10534-2: 1998 (E) standards. It is founded that predictions of the new model are in good agreement with the experiment results.
引用
收藏
页码：260 / 269
页数：10
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