Potential of Hybrid Data-Intelligence Algorithms for Multi-Station Modelling of Rainfall
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Potential of Hybrid Data-Intelligence Algorithms for Multi-Station Modelling of Rainfall
Authors
Keywords
-
Journal
WATER RESOURCES MANAGEMENT
Volume 33, Issue 15, Pages 5067-5087
Publisher
Springer Science and Business Media LLC
Online
2019-12-02
DOI
10.1007/s11269-019-02408-3
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Modeling monthly pan evaporation using wavelet support vector regression and wavelet artificial neural networks in arid and humid climates
- (2019) Sultan Noman Qasem et al. Engineering Applications of Computational Fluid Mechanics
- New Approach for Sediment Yield Forecasting with a Two-Phase Feedforward Neuron Network-Particle Swarm Optimization Model Integrated with the Gravitational Search Algorithm
- (2019) Sarita Gajbhiye Meshram et al. WATER RESOURCES MANAGEMENT
- Evaluating the performance of four different heuristic approaches with Gamma test for daily suspended sediment concentration modeling
- (2019) Anurag Malik et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- A new intelligent method for monthly streamflow prediction: hybrid wavelet support vector regression based on grey wolf optimizer (WSVR–GWO)
- (2019) Yazid Tikhamarine et al. Arabian Journal of Geosciences
- Modular Wavelet–Extreme Learning Machine: a New Approach for Forecasting Daily Rainfall
- (2019) Aman Mohammad Kalteh WATER RESOURCES MANAGEMENT
- Application of Heuristic Approaches for Prediction of Hydrological Drought Using Multi-scalar Streamflow Drought Index
- (2019) Anurag Malik et al. WATER RESOURCES MANAGEMENT
- Pan evaporation modeling by three different neuro-fuzzy intelligent systems using climatic inputs
- (2019) Rana Muhammad Adnan et al. Arabian Journal of Geosciences
- Multi-station artificial intelligence based ensemble modeling of reference evapotranspiration using pan evaporation measurements
- (2019) Vahid Nourani et al. JOURNAL OF HYDROLOGY
- Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach
- (2019) Gozen Elkiran et al. JOURNAL OF HYDROLOGY
- Data-driven rainfall/runoff modelling based on a neuro-fuzzy inference system
- (2018) N. Bartoletti et al. ENVIRONMENTAL MODELLING & SOFTWARE
- A hybrid support vector regression–firefly model for monthly rainfall forecasting
- (2018) A. Danandeh Mehr et al. International Journal of Environmental Science and Technology
- Using genetic algorithms to optimize the analogue method for precipitation prediction in the Swiss Alps
- (2018) Pascal Horton et al. JOURNAL OF HYDROLOGY
- Forecasting Daily Streamflow for Basins with Different Physical Characteristics through Data-Driven Methods
- (2018) Sinan Jasim Hadi et al. WATER RESOURCES MANAGEMENT
- In situ immune response and mechanisms of cell damage in central nervous system of fatal cases microcephaly by Zika virus
- (2018) Raimunda S. S. Azevedo et al. Scientific Reports
- A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran
- (2018) Babak Jahani et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Wastewater treatment plant performance analysis using artificial intelligence – an ensemble approach
- (2018) Vahid Nourani et al. WATER SCIENCE AND TECHNOLOGY
- An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives
- (2017) Sam Cramer et al. EXPERT SYSTEMS WITH APPLICATIONS
- Modelling long-term groundwater fluctuations by extreme learning machine using hydro-climatic data
- (2017) Meysam Alizamir et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Complexity in estimating past and future extreme short-duration rainfall
- (2017) Xuebin Zhang et al. Nature Geoscience
- Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran
- (2017) M. A. Ghorbani et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA
- (2017) Zaher Mundher Yaseen et al. WATER RESOURCES MANAGEMENT
- A comparative analysis among computational intelligence techniques for dissolved oxygen prediction in Delaware River
- (2017) Ehsan Olyaie et al. Geoscience Frontiers
- Modeling river discharge time series using support vector machine and artificial neural networks
- (2016) Mohammad Ali Ghorbani et al. Environmental Earth Sciences
- Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for forecasting precipitation based on large-scale climate signals
- (2016) Bahram Choubin et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- A real-time forecasting model for the spatial distribution of typhoon rainfall
- (2015) Gwo-Fong Lin et al. JOURNAL OF HYDROLOGY
- Urban Residential Water Demand Prediction Based on Artificial Neural Networks and Time Series Models
- (2015) Muhammad A. Al-Zahrani et al. WATER RESOURCES MANAGEMENT
- Modeling daily soil temperature using data-driven models and spatial distribution
- (2014) Sungwon Kim et al. THEORETICAL AND APPLIED CLIMATOLOGY
- Development of Nonlinear Model Based on Wavelet-ANFIS for Rainfall Forecasting at Klang Gates Dam
- (2014) Seyed Ahmad Akrami et al. WATER RESOURCES MANAGEMENT
- Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process
- (2011) Vahid Nourani et al. JOURNAL OF HYDROLOGY
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started