A broadband modeling method for range-independent underwater acoustic channels using physics-informed neural networks

被引:0
|
作者
Huang, Ziwei [1 ]
An, Liang [1 ]
Ye, Yang [1 ]
Wang, Xiaoyan [1 ]
Cao, Hongli [1 ]
Du, Yuchong [1 ]
Zhang, Meng [1 ]
机构
[1] Key Laboratory of Underwater Acoustic Signal Processing, Ministry of Education, Southeast University, Nanjing,210096, China
来源
关键词
Compendex;
D O I
10.1121/10.0034458
中图分类号
学科分类号
摘要
Boundary element method
引用
收藏
页码:3523 / 3533
相关论文
共 50 条
  • [41] Physics-informed neural networks for gravity field modeling of small bodies
    Martin, John
    Schaub, Hanspeter
    CELESTIAL MECHANICS & DYNAMICAL ASTRONOMY, 2022, 134 (05):
  • [42] Modeling Power-Bus Structures with Physics-Informed Neural Networks
    Fujita, Kazuhiro
    PROCEEDINGS OF THE 2024 IEEE JOINT INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY, SIGNAL & POWER INTEGRITY: EMC JAPAN/ASIAPACIFIC INTERNATIONAL SYMPOSIUM ON ELECTROMAGNETIC COMPATIBILITY, EMC JAPAN/APEMC OKINAWA 2024, 2024, : 552 - 555
  • [43] Physics-informed neural networks for modeling water flows in a river channel
    Nazari L.F.
    Camponogara E.
    Seman L.O.
    IEEE Transactions on Artificial Intelligence, 2024, 5 (03): : 1001 - 1015
  • [44] A General Method for Solving Differential Equations of Motion Using Physics-Informed Neural Networks
    Zhang, Wenhao
    Ni, Pinghe
    Zhao, Mi
    Du, Xiuli
    APPLIED SCIENCES-BASEL, 2024, 14 (17):
  • [45] Can physics-informed neural networks beat the finite element method?
    Grossmann, Tamara G.
    Komorowska, Urszula Julia
    Latz, Jonas
    Schonlieb, Carola-Bibiane
    IMA JOURNAL OF APPLIED MATHEMATICS, 2024, 89 (01) : 143 - 174
  • [46] DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
    Kim, Jungeun
    Lee, Kookjin
    Lee, Dongeun
    Jhin, Sheo Yon
    Park, Noseong
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 8146 - 8154
  • [47] Surrogate modeling for radiative heat transfer using physics-informed deep neural operator networks
    Lu, Xiaoyi
    Wang, Yi
    PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2024, 40 (1-4)
  • [48] GaborPINN: Efficient Physics-Informed Neural Networks Using Multiplicative Filtered Networks
    Huang X.
    Alkhalifah T.
    IEEE Geoscience and Remote Sensing Letters, 2023, 20
  • [49] Solving the frequency-domain acoustic VTI wave equation using physics-informed neural networks
    Song, Chao
    Alkhalifah, Tariq
    Waheed, Umair Bin
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2021, 225 (02) : 846 - 859
  • [50] Surrogate modeling for Bayesian inverse problems based on physics-informed neural networks
    Li, Yongchao
    Wang, Yanyan
    Yan, Liang
    JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 475