Fig. 3From: Water level prediction using long short-term memory neural network model for a lowland river: a case study on the Tisza River, Central EuropeArchitecture of the LSTM encoder–decoder model. \(T\) is the number of past data, \(P\) is the length of the prediction (forecast horizon). The \({y}_{t-1}\) is the real (known) target data at the t‒1 time point, and \({\widehat{y}}_{t,i}\) is the prediction given at the time t‒1 for the date t + iBack to article page