收藏切换
Ship radiation noise prediction method based on neural network
收藏切换
PDF
Xin HUANG1, 2, Rong-wu XU1, 2, Rui-biao LI1, 2
Journal of Ship Mechanics | 2025, 29(3) : 486 - 496
Less
收藏切换
Journal of Ship Mechanics | 2025, 29(3): 486-496
Structural Mechanics
Ship radiation noise prediction method based on neural network
Full
Xin HUANG1, 2, Rong-wu XU1, 2, Rui-biao LI1, 2
Affiliations
  • 1.Institute of Noise and Vibration, Naval University of Engineering, Wuhan 430033, China
  • 2.National Key Laboratory on Ship Vibration and Noise, Wuhan 430033, China
Published: 2025-03-20 doi: 10.3969/j.issn.1007-7294.2025.03.013
Outline
收藏切换

In view of the numerous and complex structures of ship machinery, equipment and the coupling of vibration transmission paths, a method of underwater radiated noise prediction based on BP (Back Propagation) neural network was proposed in this paper. A BP neural network based on gradient descent algorithm and Bayesian regularization algorithm was constructed respectively. Vibration data was taken as input, hull radiation noise was taken as output, and root mean square error (eRMSE) and mean absolute error (eMAE) were taken as evaluation indexes of model prediction accuracy. The results show that the generalization and robustness of Bayesian regularization BP neural network is better than that of gradient descent algorithm BP neural network. The error of Bayesian regularization is less than 3 dB, and the proposed method has good applicability in the field of ship radiation noise prediction.

radiation noise prediction  /  BP neural network  /  gradient descent algorithm  /  Bayesian regularization algorithm
Xin HUANG, Rong-wu XU, Rui-biao LI. Ship radiation noise prediction method based on neural network[J]. Journal of Ship Mechanics, 2025 , 29 (3) : 486 -496 . DOI: 10.3969/j.issn.1007-7294.2025.03.013
Year 2025 volume 29 Issue 3
PDF
56
20
Cite this Article
BibTeX
Article Info
doi: 10.3969/j.issn.1007-7294.2025.03.013
  • Receive Date:2024-09-27
  • Online Date:2026-03-24
  • Published:2025-03-20
Article Data
Affiliations
History
  • Received:2024-09-27
Funding
Affiliations
    1.Institute of Noise and Vibration, Naval University of Engineering, Wuhan 430033, China
    2.National Key Laboratory on Ship Vibration and Noise, Wuhan 430033, China
References
Share
https://castjournals.cast.org.cn/joweb/cblx/EN/10.3969/j.issn.1007-7294.2025.03.013
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT