Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis
Authors
Keywords
-
Journal
Water
Volume 11, Issue 3, Pages 502
Publisher
MDPI AG
Online
2019-03-12
DOI
10.3390/w11030502
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Prediction of heat waves in Pakistan using quantile regression forests
- (2019) Najeebullah Khan et al. ATMOSPHERIC RESEARCH
- Performance evaluation of hybrid adaptive neuro-fuzzy inference system models for predicting monthly global solar radiation
- (2018) Laith M. Halabi et al. APPLIED ENERGY
- Optimization of Reservoir Operation Using New Hybrid Algorithm
- (2018) Zaher Mundher Yaseen et al. KSCE Journal of Civil Engineering
- Hybrid Adaptive Neuro-Fuzzy Models for Water Quality Index Estimation
- (2018) Zaher Mundher Yaseen et al. WATER RESOURCES MANAGEMENT
- Harmonize input selection for sediment transport prediction
- (2017) Haitham Abdulmohsin Afan et al. JOURNAL OF HYDROLOGY
- Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey
- (2017) Mohammad Ali Ghorbani et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- 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
- Statistical seasonal rainfall and streamflow forecasting for the Sirba watershed, West Africa, using sea-surface temperatures
- (2016) K. Sittichok et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Summer precipitation prediction in the source region of the Yellow River using climate indices
- (2015) F. Yuan et al. HYDROLOGY RESEARCH
- Neural network river forecasting with multi-objective fully informed particle swarm optimization
- (2015) Riccardo Taormina et al. JOURNAL OF HYDROINFORMATICS
- RBFNN versus FFNN for daily river flow forecasting at Johor River, Malaysia
- (2015) Zaher Mundher Yaseen et al. NEURAL COMPUTING & APPLICATIONS
- Summer precipitation prediction in the source region of the Yellow River using climate indices
- (2015) F. Yuan et al. Hydrology Research
- Wavelet Genetic Algorithm-Support Vector Regression (Wavelet GA-SVR) for Monthly Flow Forecasting
- (2014) Aman Mohammad Kalteh WATER RESOURCES MANAGEMENT
- A computational model for accommodating spatial uncertainty: Predicting inhabitation patterns in open-planned spaces
- (2013) Aslı Çekmiş et al. BUILDING AND ENVIRONMENT
- Methods for uncertainty assessment of climate models and model predictions over East Asia
- (2013) Ki-Young Heo et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Improved Particle Swarm Optimization–Based Artificial Neural Network for Rainfall-Runoff Modeling
- (2013) Mohsen Asadnia et al. JOURNAL OF HYDROLOGIC ENGINEERING
- A hybrid SVM-PSO model for forecasting monthly streamflow
- (2013) Ch. Sudheer et al. NEURAL COMPUTING & APPLICATIONS
- A Wavelet-ANFIS Hybrid Model for Groundwater Level Forecasting for Different Prediction Periods
- (2013) Vahid Moosavi et al. WATER RESOURCES MANAGEMENT
- Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations
- (2012) Martin Štěpnička et al. EXPERT SYSTEMS WITH APPLICATIONS
- Merging Seasonal Rainfall Forecasts from Multiple Statistical Models through Bayesian Model Averaging
- (2012) Q. J. Wang et al. JOURNAL OF CLIMATE
- Modeling discharge–sediment relationship using neural networks with artificial bee colony algorithm
- (2012) Ozgur Kisi et al. JOURNAL OF HYDROLOGY
- How well do the GCMs/RCMs capture the multi-scale temporal variability of precipitation in the Southwestern United States?
- (2012) Peng Jiang et al. JOURNAL OF HYDROLOGY
- Two hybrid Artificial Intelligence approaches for modeling rainfall–runoff process
- (2011) Vahid Nourani et al. JOURNAL OF HYDROLOGY
- A hybrid approach of support vector regression with genetic algorithm optimization for aquaculture water quality prediction
- (2011) Shuangyin Liu et al. MATHEMATICAL AND COMPUTER MODELLING
- Climate non-stationarity – Validity of calibrated rainfall–runoff models for use in climate change studies
- (2010) J. Vaze et al. JOURNAL OF HYDROLOGY
- Evolutionary artificial neural networks for hydrological systems forecasting
- (2009) Yung-hsiang Chen et al. JOURNAL OF HYDROLOGY
- Improved irrigation water demand forecasting using a soft-computing hybrid model
- (2008) Inmaculada Pulido-Calvo et al. BIOSYSTEMS ENGINEERING
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 MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now