Improving daily stochastic streamflow prediction: Comparison of novel hybrid data mining algorithms
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Improving daily stochastic streamflow prediction: Comparison of novel hybrid data mining algorithms
Authors
Keywords
-
Journal
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
Volume -, Issue -, Pages -
Publisher
Informa UK Limited
Online
2021-05-13
DOI
10.1080/02626667.2021.1928673
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- RF-MEP: A novel Random Forest method for merging gridded precipitation products and ground-based measurements
- (2020) Oscar M. Baez-Villanueva et al. REMOTE SENSING OF ENVIRONMENT
- Drought modeling using classic time series and hybrid wavelet-gene expression programming models
- (2020) Saeid Mehdizadeh et al. JOURNAL OF HYDROLOGY
- Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization
- (2019) Wei Chen et al. JOURNAL OF HYDROLOGY
- Machine Learning-based Blending of Satellite and Reanalysis Precipitation Datasets: A Multi-regional Tropical Complex Terrain Evaluation
- (2019) Md Abul Ehsan Bhuiyan et al. JOURNAL OF HYDROMETEOROLOGY
- Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs
- (2019) Rana Muhammad Adnan et al. JOURNAL OF HYDROLOGY
- Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq
- (2019) Khabat Khosravi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Stochastic Modeling of Groundwater Fluoride Contamination: Introducing Lazy Learners
- (2019) Khabat Khosravi et al. Groundwater
- Joint frequency analysis and uncertainty estimation of coupled rainfall–runoff series relying on historical and simulated data
- (2019) Esmaeel Dodangeh et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- River suspended sediment load prediction based on river discharge information: application of newly developed data mining models
- (2019) Sinan Q. Salih et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Improving the prediction of ground motion parameters based on an efficient bagging ensemble model of M5′ and CART algorithms
- (2018) S.M. Hamze-Ziabari et al. APPLIED SOFT COMPUTING
- Using an ensemble machine learning methodology-Bagging to predict occupants’ thermal comfort in buildings
- (2018) Zhibin Wu et al. ENERGY AND BUILDINGS
- A hybrid support vector regression–firefly model for monthly rainfall forecasting
- (2018) A. Danandeh Mehr et al. International Journal of Environmental Science and Technology
- Adjustment of spatio-temporal precipitation patterns in a high Alpine environment
- (2018) Mathew Herrnegger et al. JOURNAL OF HYDROLOGY
- Simulation and forecasting of streamflows using machine learning models coupled with base flow separation
- (2018) Hakan Tongal et al. JOURNAL OF HYDROLOGY
- Application of ANFIS, ANN, and logistic methods in estimating biogas production from spent mushroom compost (SMC)
- (2018) Bahman Najafi et al. RESOURCES CONSERVATION AND RECYCLING
- Rainfall-Runoff Modeling using Clustering and Regression Analysis for the River Brahmaputra Basin
- (2018) Satanand Mishra et al. JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA
- Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
- (2018) Dieu Tien Bui et al. Scientific Reports
- New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
- (2018) Dieu Tien Bui et al. Water
- Random forest regression for online capacity estimation of lithium-ion batteries
- (2018) Yi Li et al. APPLIED ENERGY
- Rainfall monitoring network design using conditioned Latin hypercube sampling and satellite precipitation estimates: An application in the ungauged Ecuadorian Amazon
- (2018) Juan Contreras et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile
- (2018) Khabat Khosravi et al. JOURNAL OF HYDROLOGY
- A random forest partition model for predicting NO2 concentrations from traffic flow and meteorological conditions
- (2018) Joanna A. Kamińska SCIENCE OF THE TOTAL ENVIRONMENT
- Random forest dissimilarity based multi-view learning for Radiomics application
- (2018) Hongliu Cao et al. PATTERN RECOGNITION
- Developing an intelligent expert system for streamflow prediction, integrated in a dynamic decision support system for managing multiple reservoirs: A case study
- (2017) Hamed Zamani Sabzi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Prediction of daily diffuse solar radiation using artificial neural networks
- (2017) Xinhua Xue INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Choice of rainfall inputs for event-based rainfall-runoff modeling in a catchment with multiple rainfall stations using data-driven techniques
- (2017) Tak Kwin Chang et al. JOURNAL OF HYDROLOGY
- An Emotional ANN (EANN) approach to modeling rainfall-runoff process
- (2017) Vahid Nourani JOURNAL OF HYDROLOGY
- Quantification of parametric uncertainty of ANN models with GLUE method for different streamflow dynamics
- (2017) Hakan Tongal et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Soft Computing Techniques for Rainfall-Runoff Simulation: Local Non–Parametric Paradigm vs. Model Classification Methods
- (2017) Mohammad Rezaie-Balf et al. WATER RESOURCES MANAGEMENT
- Streamflow and Sediment Yield Prediction for Watershed Prioritization in the Upper Blue Nile River Basin, Ethiopia
- (2017) Gebiaw Ayele et al. Water
- SoilGrids250m: Global gridded soil information based on machine learning
- (2017) Tomislav Hengl et al. PLoS One
- The optimized artificial neural network model with Levenberg–Marquardt algorithm for global solar radiation estimation in Eastern Mediterranean Region of Turkey
- (2016) Özgür Çelik et al. JOURNAL OF CLEANER PRODUCTION
- Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution
- (2016) Ozgur Kisi et al. JOURNAL OF HYDROLOGY
- Non-tuned machine learning approach for hydrological time series forecasting
- (2016) Zaher Mundher Yaseen et al. NEURAL COMPUTING & APPLICATIONS
- Modeling of compressive strength and UPV of high-volume mineral-admixtured concrete using rule-based M5 rule and tree model M5P classifiers
- (2015) Yaşar Ayaz et al. CONSTRUCTION AND BUILDING MATERIALS
- Artificial intelligence based models for stream-flow forecasting: 2000–2015
- (2015) Zaher Mundher Yaseen et al. JOURNAL OF HYDROLOGY
- Analysis of daily solar power prediction with data-driven approaches
- (2014) Huan Long et al. APPLIED ENERGY
- Effect of Bias Correction of Satellite-Rainfall Estimates on Runoff Simulations at the Source of the Upper Blue Nile
- (2014) Emad Habib et al. Remote Sensing
- Flood risk and climate change: global and regional perspectives
- (2013) Zbigniew W. Kundzewicz et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Modeling rainfall-runoff process using soft computing techniques
- (2012) Ozgur Kisi et al. COMPUTERS & GEOSCIENCES
- Assessing urbanisation effects on rainfall-runoff using a remote sensing supported modelling strategy
- (2012) B. Verbeiren et al. International Journal of Applied Earth Observation and Geoinformation
- Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios
- (2012) Harald Kling et al. JOURNAL OF HYDROLOGY
- Suspended sediment load prediction of river systems: An artificial neural network approach
- (2011) A.M. Melesse et al. AGRICULTURAL WATER MANAGEMENT
- Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process
- (2011) Vahid Nourani et al. JOURNAL OF HYDROLOGY
- Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water
- (2011) Eric F. Wood et al. WATER RESOURCES RESEARCH
- Application of SWAT model to investigate nitrate leaching in Hamadan–Bahar Watershed, Iran
- (2010) Samira Akhavan et al. AGRICULTURE ECOSYSTEMS & ENVIRONMENT
- Comparative study of neural network, fuzzy logic and linear transfer function techniques in daily rainfall-runoff modelling under different input domains
- (2010) Anil Kumar Lohani et al. HYDROLOGICAL PROCESSES
- Multiscale parameter regionalization of a grid-based hydrologic model at the mesoscale
- (2010) Luis Samaniego et al. WATER RESOURCES RESEARCH
- An adaptive model for predicting of global, direct and diffuse hourly solar irradiance
- (2009) A. Mellit et al. ENERGY CONVERSION AND MANAGEMENT
- A hybrid neural network and ARIMA model for water quality time series prediction
- (2009) Durdu Ömer Faruk ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Rainfall–runoff modeling in a small hyper-arid catchment
- (2009) Yonatan Bahat et al. JOURNAL OF HYDROLOGY
- Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
- (2009) Hoshin V. Gupta et al. JOURNAL OF HYDROLOGY
- A Multivariate ANN-Wavelet Approach for Rainfall–Runoff Modeling
- (2009) Vahid Nourani et al. WATER RESOURCES MANAGEMENT
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search