Active vibration control using nonlinear auto-regressive neural network to identify secondary channel
- DOI
- 10.1177/14613484231186704
- Published
- 12
- Container
- Journal of Low Frequency Noise, Vibration and Active Control
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1177/14613484231186704,
title = {Active vibration control using nonlinear auto-regressive neural network to identify secondary channel},
author = {Song Chun-sheng and Xiong Xue-chun and Yang Qi and Jia Bo and Chen Bo-yuan and Liang Ya-ru and Fang Hai-ning},
year = {2023},
journal = {Journal of Low Frequency Noise, Vibration and Active Control},
doi = {10.1177/14613484231186704},
url = {https://doi.org/10.1177/14613484231186704}
}RIS
TY - JOUR TI - Active vibration control using nonlinear auto-regressive neural network to identify secondary channel AU - Song Chun-sheng AU - Xiong Xue-chun AU - Yang Qi AU - Jia Bo AU - Chen Bo-yuan AU - Liang Ya-ru AU - Fang Hai-ning PY - 2023 JO - Journal of Low Frequency Noise, Vibration and Active Control DO - 10.1177/14613484231186704 UR - https://doi.org/10.1177/14613484231186704 ER -
APA
Chun-sheng, S., Xue-chun, X., Qi, Y., Bo, J., Bo-yuan, C., Ya-ru, L., & Hai-ning, F. (2023). Active vibration control using nonlinear auto-regressive neural network to identify secondary channel. Journal of Low Frequency Noise, Vibration and Active Control. https://doi.org/10.1177/14613484231186704
Source records
- doaj · retrieved 2026-09-25T13:25:53.836Z