General regression neural network for prediction of sound absorption coefficients of sandwich structure nonwoven absorbers-Reference-Cited by-同舟云学术

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General regression neural network for prediction of sound absorption coefficients of sandwich structure nonwoven absorbers

Published:2014-02 Issue: Volume:76 Page:128-137
ISSN:0003-682X
Container-title:Applied Acoustics
language:en
Short-container-title:Applied Acoustics

Author:

Liu Jianli,Bao Wei,Shi Lei,Zuo Baoqi,Gao Weidong

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Special Financial Grant from the China Postdoctoral Science Foundation

Foundation of Engineering Research Center of Technical Textiles, Ministry of Education

Research Project of Jiangsu Entry-Exit Inspection and Quarantine Bureau

Publisher

Elsevier BV

Subject

Acoustics and Ultrasonics

Reference66 articles.

1. WHO warns noise pollution is a growing hazard to health in Europe;Moszynski;Br Med J,2011

2. Road traffic noise, sensitivity, annoyance and self-reported health – a structural equation model exercise;Fyhri;Environ Int,2009

3. Aircraft and road traffic noise and children’s cognition and health a cross-national study;Stansfeld;Lancet,2005

4. Neurobehavioral effects of exposure to traffic-related air pollution and transportation noise in primary schoolchildren;Van Kempen;Environ Res,2012

5. Review in sound absorbing materials;Sagartzazu;Arch Comput Methods Eng,2008

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