Data mining based on wavelet and decision tree for rainfall-runoff simulation | Hydrology Research | IWA Publishing

Skip to Main Content

Data mining based on wavelet and decision tree for rainfall-runoff simulation

Hydrology Research (2019) 50 (1): 75–84.

This article has been cited by the following articles in journals that are participating in CrossRef Cited-by Linking.

A Wavelet Based Data Mining Technique for Suspended Sediment Load Modeling

Vahid Nourani
Amir Molajou
Ali Davanlou Tajbakhsh
Hessam Najafi

Water Resources Management (2019) 33 (5): 1769.

Precipitation Forecasting Using Multilayer Neural Network and Support Vector Machine Optimization Based on Flow Regime Algorithm Taking into Account Uncertainties of Soft Computing Models

Fatemeh Barzegari Banadkooki
Mohammad Ehteram
Ali Najah Ahmed
Chow Ming Fai
Haitham Abdulmohsin Afan
Wani M. Ridwam
Ahmed Sefelnasr
Ahmed El-Shafie

Sustainability (2019) 11 (23): 6681.

ANN-based statistical downscaling of climatic parameters using decision tree predictor screening method

Vahid Nourani
Zahra Razzaghzadeh
Aida Hosseini Baghanam
Amir Molajou

Theoretical and Applied Climatology (2019) 137 (3-4): 1729.

Emotional artificial neural networks (EANNs) for multi-step ahead prediction of monthly precipitation; case study: northern Cyprus

Vahid Nourani
Amir Molajou
Selin Uzelaltinbulat
Fahreddin Sadikoglu

Theoretical and Applied Climatology (2019) 138 (3-4): 1419.