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论文类型 ： 期刊论文
论文编号 ： 20132416424712
第一作者 ： 陈书明
通讯作者 ： 王登峰
全部作者 ： 吴因冲,刘宗伟,王海林
发表时间 ： 2013-06-01
发表刊物 ： SAE International Journal of Passenger Cars - Mechanical Systems
收录刊物 ： EI  
所属单位 ： 吉林大学
刊物所在地 ： United States
学科门类 ： 工学
一级学科 ： 机械工程
文献类型 ： J
卷号 ： 6
期号 ： 2
ISSN ： 19463995
教研室 ： 汽车工程系
摘要 ： In this research, the interior noise of a passenger car was measured, and the sound quality metrics including sound pressure level, loudness, sharpness, and roughness were calculated. An artificial neural network was designed to successfully apply on automotive interior noise as well as numerous different fields of technology which aim to overcome difficulties of experimentations and save cost, time and workforce. Sound pressure level, loudness, sharpness, and roughness were estimated by using the artificial neural network designed by using the experiment values. The predicted values and exper
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