Novel hybrid intelligence predictive model based on successive variational mode decomposition algorithm for monthly runoff series

• Published in: Journal of hydrology (Amsterdam) Vol. 634; p. 131041
• Main Authors: Parsaie, Abbas, Ghasemlounia, Redvan, Gharehbaghi, Amin, Haghiabi, AmirHamzeh, Chadee, Aaron Anil, Nou, Mohammad Rashki Ghale
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2024
• Subjects: algorithms; autocorrelation; Dez River; Hybrid predictive models; hybrids; Iran; Monthly runoff forecasting; runoff; SVMD algorithm; time series analysis; watersheds; Iran; SVMD algorithm; Dez River; Monthly runoff forecasting; Hybrid predictive models

•Development of a hybrid soft computing model to predict the Runoff.•Preprocessing the signal of the time series of input variables using the Wavelet technique.•Design an MLPNN model and train it using the PSO technique. A high-accuracy estimation of the runoff has always been an extremely relevant...