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

Skip Nav Destination

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.

IHACRES, GR4J and MISD-based multi conceptual-machine learning approach for rainfall-runoff modeling

Babak Mohammadi
Mir Jafar Sadegh Safari
Saeed Vazifehkhah

Scientific Reports (2022) 12 (1)

Employing artificial neural networks and fluorescence spectrum for food vegetable oils identification

Wawan Joko PRANOTO
Sarmad Ghazi AL-SHAWI
Paitoon CHETTHAMRONGCHAI
Tzu-Chia CHEN
Ekaterina PETUKHOVA
Natalia NIKOLAEVA
Walid Kamal ABDELBASSET
Natalya Anatolyevna YUSHCHENKО
Surendar ARAVINDHAN

Food Science and Technology (2022) 42

New hybrid GR6J-wavelet-based genetic algorithm-artificial neural network (GR6J-WGANN) conceptual-data-driven model approaches for daily rainfall–runoff modelling

Cenk Sezen
Turgay Partal

Neural Computing and Applications (2022) 34 (20): 17231.

The effect of climate change on groundwater level and its prediction using modern meta-heuristic model

Reza Dehghani
Hassan Torabi Poudeh
Zohre Izadi

Groundwater for Sustainable Development (2022) 16: 100702.

A hybrid wavelet–machine learning model for qanat water flow prediction

Saeideh Samani
Meysam Vadiati
Madjid Delkash
Hossein Bonakdari

Acta Geophysica (2022)

On-the-Spot Decision-Making System of Basketball Game Based on Data Mining Algorithm

Dehou Ma
Mohammad Ayoub Khan

Security and Communication Networks (2022) 2022: 1.

Modeling stage–discharge–sediment using support vector machine and artificial neural network coupled with wavelet transform

Manish Kumar
Pravendra Kumar
Anil Kumar
Ahmed Elbeltagi
Alban Kuriqi

Applied Water Science (2022) 12 (5)

Simulation of rainfall-runoff process using an artificial neural network (ANN) and field plots data

Vahid Gholami
Hossein Sahour

Theoretical and Applied Climatology (2022) 147 (1-2): 87.

Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data

Saeideh Samani
Meysam Vadiati
Zohre Nejatijahromi
Behrooz Etebari
Ozgur Kisi

Environmental Science and Pollution Research (2022)

Comprehensive Review: Advancements in Rainfall-Runoff Modelling for Flood Mitigation

Muhammad Jehanzaib
Muhammad Ajmal
Mohammed Achite
Tae-Woong Kim

Climate (2022) 10 (10): 147.

Decision Tree-Based Conditional Operation Rules for Optimal Conjunctive Use of Surface and Groundwater

Mina Khosravi
Abbas Afshar
Amir Molajou

Water Resources Management (2022) 36 (6): 2013.

Online Learning Behavior Feature Mining Method Based on Decision Tree

Juxin Shao
Qian Gao
Hui Wang

Journal of Cases on Information Technology (2022) 24 (5): 1.

Prediction of groundwater drawdown using artificial neural networks

Vahid Gholami
Hossein Sahour

Environmental Science and Pollution Research (2022) 29 (22): 33544.

Combining time varying filtering based empirical mode decomposition and machine learning to predict precipitation from nonlinear series

Chao Song
Xiaohong Chen
Pan Wu
Haoyu Jin

Journal of Hydrology (2021) 603: 126914.

Multi-step rainfall forecasting using deep learning approach

Sanam Narejo
Muhammad Moazzam Jawaid
Shahnawaz Talpur
Rizwan Baloch
Eros Gian Alessandro Pasero

PeerJ Computer Science (2021) 7: e514.

Decomposition-based hybrid wind speed forecasting model using deep bidirectional LSTM networks

K.U. Jaseena
Binsu C. Kovoor

Energy Conversion and Management (2021) 234: 113944.

Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling

Amir Molajou
Vahid Nourani
Abbas Afshar
Mina Khosravi
Adam Brysiewicz

Water Resources Management (2021) 35 (8): 2369.

Application of Machine Learning Techniques in Rainfall–Runoff Modelling of the Soan River Basin, Pakistan

Muhammad Tariq Khan
Muhammad Shoaib
Muhammad Hammad
Hamza Salahudin
Fiaz Ahmad
Shakil Ahmad

Water (2021) 13 (24): 3528.

A Wavelet-based hybrid multi-step Wind Speed Forecasting model using LSTM and SVR

Jaseena K U
Binsu C Kovoor

Wind Engineering (2021) 45 (5): 1123.

Groundwater level modeling with hybrid artificial intelligence techniques

Ramin Bahmani
Taha B.M.J. Ouarda

Journal of Hydrology (2021) 595: 125659.

Assessing Adaptability of Cyclic and Non-Cyclic Approach to Conjunctive use of Groundwater and Surface water for Sustainable Management Plans under Climate Change

Abbas Afshar
Mina Khosravi
Amir Molajou

Water Resources Management (2021) 35 (11): 3463.

An integrated simulation-optimization framework to optimize the reservoir operation adapted to climate change scenarios

Vahid Nourani
Nazak Rouzegari
Amir Molajou
Aida Hosseini Baghanam

Journal of Hydrology (2020) 587: 125018.

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.

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.

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.

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.

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

This Feature Is Available To Subscribers Only