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Long short term memory (LSTM) recurrent neural network (RNN) for discharge level prediction and forecast in Cimandiri river, Indonesia
Author(s) -
Yuli Sudriani,
Iwan Ridwansyah,
H A Rustini
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/299/1/012037
Subject(s) - irrigation , environmental science , long short term memory , water resource management , java , hydrology (agriculture) , agriculture , recurrent neural network , watershed , discharge , artificial neural network , computer science , geography , engineering , drainage basin , artificial intelligence , machine learning , cartography , ecology , geotechnical engineering , archaeology , biology , programming language

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