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Using rectified linear unit and swish based artificial neural networks to describe noise transfer in a full vehicle context
Author(s) -
Dimitrios Ernst Tsokaktsidis,
Clemens Nau,
Marcus Maeder,
Steffen Marburg
Publication year - 2021
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/10.0005535
Subject(s) - computer science , context (archaeology) , artificial neural network , noise (video) , transfer function , automotive industry , transfer of learning , transfer (computing) , automotive engineering , simulation , artificial intelligence , engineering , paleontology , parallel computing , image (mathematics) , aerospace engineering , electrical engineering , biology

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