Figure 11 | Scientific Reports

Figure 11

From: Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks

Figure 11

Scatterplot of predicted (Qpred) and actual (Qact) hourly streamflow (Q, m3 s−1) for (a) Brisbane River and (b) Teewah Creek using the CNN-LSTM, Extreme Learning Machine (ELM), Multi-Layer Perceptron (MLP), Long Short Term Memory Network (LSTM), Gradient Boosting Regression (GBM) and Extreme Gradient Boosting Regression Model (XGB) model. Least square regression equations of the form y = mx + C and the correlation coefficient (r) is inserted in each panel.

Back to article page