Work

Long Short-term Memory (LSTM) recurrent neural networks for urban hydrological modelling

Year: 2020

Type: dissertation

Source: NORA - Norwegian Open Research Archives

Author: Vetle Øyri

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Sustainable cities and communities

Open Access status: green

OpenAlex ID: W3152642817

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