Open AccessEstimating Fluid Parameters of Submarine Outfall Using Neural Networks
Author(s) -
Engın Gücüyen,
R. Tuğrul Erdem
Publication year - 2020
Publication title -
dicle üniversitesi mühendislik fakültesi mühendislik dergisi/dicle üniversitesi mühendislik fakültesi mühendislik dergisi.
Language(s) - English
Resource type - Journals
eISSN - 2146-4391
pISSN - 1309-8640
DOI - 10.24012/dumf.650657
Subject(s) - submarine , finite element method , diffuser (optics) , outfall , fluid–structure interaction , marine engineering , artificial neural network , submarine pipeline , geology , engineering , structural engineering , mechanics , computer science , geotechnical engineering , physics , environmental engineering , light source , optics , machine learning