Linear genetic programming application for successive-station monthly streamflow prediction
We compared FFBP, GRNN, RBF neural networks and LGP for successive-station monthly streamflow prediction. Both ANNs and LGP models are more reliable in low and medium flow prediction. LGP is more capable of capturing extreme values than ANNs. LGP is superior to ANN in terms of overall accuracy and practical applicability. In contrast with implicit ANNs, LGP provided explicit equation for streamflow prediction.
linear genetic programming streamflow prediction artificial neural networks successive stations