A Machine Learning Model for Predicting Noise Limits of Motor Vehicles in UNECE R51 Regulations

A Machine Learning Model for Predicting Noise Limits of Motor Vehicles in UNECE R51 Regulations

It is vital to greatly reduce traffic noises emitted by motor vehicles during accelerating through determining limit values of noises and further improve technical specifications and comforts of these automobiles for automotive manufacturers. The United Nations Economic Commission for Europe (UNECE)...

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Bibliographic Details
Main Authors: Gangping Tan, Qingshuang Chen, Changyin Li, Richard (Chunhui) Yang
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Applied Sciences
Subjects:
UNECE R51
automotive noise limits
machine learning
BPNN
Levenberg-Marquardt algorithm
quadratic regression
Online Access:https://www.mdpi.com/2076-3417/10/22/8092

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https://www.mdpi.com/2076-3417/10/22/8092

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