Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
Rainfall–runoff modelling using Long Short-Term Memory (LSTM) networks
Abstract. Rainfall–runoff modelling is one of the key challenges in the field of hydrology. Various approaches exist, ranging from physically based over conceptual to fully data-driven models. In this paper, we propose a novel data-driven approach, using the Long Short-Term Memory (LSTM) network, a special type of recurrent neural network. …