Open AccessEmulating the estuarine morphology evolution using a deep convolutional neural network emulator based on hydrodynamic results of a numerical model
Author(s) -
Willian Melo,
José L. S. Pinho,
Isabel Iglesias
Publication year - 2022
Publication title -
journal of hydroinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.654
H-Index - 50
eISSN - 1465-1734
pISSN - 1464-7141
DOI - 10.2166/hydro.2022.068
Subject(s) - computer science , convolutional neural network , artificial neural network , numerical models , work (physics) , mean squared error , estuary , marine engineering , computer simulation , artificial intelligence , simulation , geology , engineering , oceanography , mathematics , mechanical engineering , statistics
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