Review of coupled artificial neural network models applied in runoff prediction
WANG Yuxi
CAO Qing
SHAO Quanxi
Abstract：The application of artificial neural network(ANN)coupled with other models or optimization algorithms in runoff prediction is gradually increasing.The systematic review and summary are given from 4 aspects:the coupling of ANN models with physical models,the combination of multiple ANN models,the integration of decomposition techniques with machine learning methods and the incorporation of ANN models with intelligent optimization algorithms.The reasons for the improvement in the prediction accuracy and the advantages of each method are analyzed.Furthermore,the present research challenges and future prospects are discussed,which can provide support for runoff prediction and water resources management.
Keywords：runoff predictionback propagation(BP)neural network modelrecurrent neural network(RNN)modellong-short term memory(LSTM)neural network modelgated recurrent unit(GRU)neural network modelconvolutional neural network(CNN)model
Publication Date：2024-09-30
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：10( 152-161 )