Using Multi-Layer Perceptrons to Predict Vehicle Pass-By Noise-Reference-Cited by-同舟云学术

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Using Multi-Layer Perceptrons to Predict Vehicle Pass-By Noise

Published:2003-06-01 Issue:3-4 Volume:11 Page:161-167
ISSN:0941-0643
Container-title:Neural Computing & Applications
language:
Short-container-title:Neural Computing & Applications

Author:

Fry J.,Jennings P.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-003-0354-3.pdf

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An artificial neural network (ANN) approach to model Tire-Pavement interaction noise (TPIN) based on tire noise separation;Applied Acoustics;2023-04

2. An Improved Time-Domain Equivalent Source Method for Accurate Indoor Simulation of Pass-By Noise;Journal of Vibration and Acoustics;2022-11-23

3. An approach for indoor prediction of the pass-by noise of a vehicle based on the time-domain equivalent source method;Mechanical Systems and Signal Processing;2021-01

4. Literature review of models on tire-pavement interaction noise;Journal of Sound and Vibration;2018-04

5. Noise source characteristics in the ISO 362 vehicle pass-by noise test: Literature review;Applied Acoustics;2013-11

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