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Comparative evaluation of LSTM, CNN, and ConvLSTM for hourly short-term streamflow forecasting using deep learning approaches

Adnan Dehghani, Hamza Mohammad Zakir Hiyat Moazam, Fatemehsadat Mortazavizadeh, Vahid Ranjbar, Majid Mirzaei, Saber Mortezavi, Jing Lin Ng, Amin Dehghani

2023Ecological Informatics152 citationsDOI

Topics & Concepts

StreamflowArtificial intelligenceDeep learningTerm (time)Flood forecastingComputer scienceConvolutional neural networkMachine learningArtificial neural networkLong short term memoryRecurrent neural networkDrainage basinCartographyGeographyPhysicsQuantum mechanicsHydrological Forecasting Using AIFlood Risk Assessment and ManagementHydrology and Watershed Management Studies
Comparative evaluation of LSTM, CNN, and ConvLSTM for hourly short-term streamflow forecasting using deep learning approaches | Litcius