Open AccessModel-based convolutional neural network approach to underwater source-range estimation
Author(s) -
R. Chen,
Henrik Schmidt
Publication year - 2021
Publication title -
the journal of the acoustical society of america
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/10.0003329
Subject(s) - convolutional neural network , underwater , range (aeronautics) , computer science , field (mathematics) , artificial neural network , artificial intelligence , approximation error , pattern recognition (psychology) , machine learning , algorithm , mathematics , geology , engineering , oceanography , pure mathematics , aerospace engineering
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