Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
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Title
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
Authors
Keywords
Wavelet, Extreme learning machine, Drought model, Effective drought index, Forecasting
Journal
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
Volume 31, Issue 5, Pages 1211-1240
Publisher
Springer Nature
Online
2016-05-24
DOI
10.1007/s00477-016-1265-z
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Note: Only part of the references are listed.- High-quality spatial climate data-sets for Australia
- (2017) D Jones et al. Australian Meteorological and Oceanographic Journal
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- (2016) A. Belayneh et al. ATMOSPHERIC RESEARCH
- Application of effective drought index for quantification of meteorological drought events: a case study in Australia
- (2016) Ravinesh C. Deo et al. THEORETICAL AND APPLIED CLIMATOLOGY
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- (2016) John Quilty et al. WATER RESOURCES RESEARCH
- Using wavelet transforms to estimate surface temperature trends and dominant periodicities in Iran based on gridded reanalysis data
- (2015) A. Araghi et al. ATMOSPHERIC RESEARCH
- ANN-based interval forecasting of streamflow discharges using the LUBE method and MOFIPS
- (2015) Riccardo Taormina et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A novel hybrid neural network based on continuity equation and fuzzy pattern-recognition for downstream daily river discharge forecasting
- (2015) Xiao-yun Chen et al. JOURNAL OF HYDROINFORMATICS
- Comparing various artificial neural network types for water temperature prediction in rivers
- (2015) Adam P. Piotrowski et al. JOURNAL OF HYDROLOGY
- Extreme Learning Machines: A new approach for prediction of reference evapotranspiration
- (2015) Shafika Sultan Abdullah et al. JOURNAL OF HYDROLOGY
- Are hybrid models integrated with data preprocessing techniques suitable for monthly streamflow forecasting? Some experiment evidences
- (2015) Xiaoli Zhang et al. JOURNAL OF HYDROLOGY
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- (2015) Chang-Kyun Park et al. JOURNAL OF HYDROLOGY
- Neural network river forecasting through baseflow separation and binary-coded swarm optimization
- (2015) Riccardo Taormina et al. JOURNAL OF HYDROLOGY
- Modeling of groundwater level fluctuations using dendrochronology in alluvial aquifers
- (2015) V. Gholami et al. JOURNAL OF HYDROLOGY
- Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines
- (2015) Riccardo Taormina et al. JOURNAL OF HYDROLOGY
- Trends in extreme learning machines: A review
- (2015) Gao Huang et al. NEURAL NETWORKS
- Wavelet-multivariate relevance vector machine hybrid model for forecasting daily evapotranspiration
- (2015) Roula Bachour et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Daily precipitation predictions using three different wavelet neural network algorithms by meteorological data
- (2015) Turgay Partal et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition
- (2015) Wen-chuan Wang et al. WATER RESOURCES MANAGEMENT
- High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications
- (2015) Anton Akusok et al. IEEE Access
- Hydrological drought explained
- (2015) Anne F. Van Loon Wiley Interdisciplinary Reviews-Water
- Multi-step streamflow forecasting using data-driven non-linear methods in contrasting climate regimes
- (2015) Daniel J. Karran et al. JOURNAL OF HYDROINFORMATICS
- Accurate precipitation prediction with support vector classifiers: A study including novel predictive variables and observational data
- (2014) E.G. Ortiz-García et al. ATMOSPHERIC RESEARCH
- Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS
- (2014) Manish Kumar Goyal et al. EXPERT SYSTEMS WITH APPLICATIONS
- Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review
- (2014) Vahid Nourani et al. JOURNAL OF HYDROLOGY
- Monthly discharge forecasting using wavelet neural networks with extreme learning machine
- (2014) BaoJian Li et al. Science China-Technological Sciences
- Intermittent Streamflow Forecasting and Extreme Event Modelling using Wavelet based Artificial Neural Networks
- (2014) Jaydip J. Makwana et al. WATER RESOURCES MANAGEMENT
- Effect of Utilization of Discrete Wavelet Components on Flood Forecasting Performance of Wavelet Based ANFIS Models
- (2014) Vinit Sehgal et al. WATER RESOURCES MANAGEMENT
- Trend detection in surface air temperature in Ontario and Quebec, Canada during 1967–2006 using the discrete wavelet transform
- (2013) D. Nalley et al. ATMOSPHERIC RESEARCH
- Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks
- (2013) John Abbot et al. ATMOSPHERIC RESEARCH
- Development of an artificial neural network based multi-model ensemble to estimate the northeast monsoon rainfall over south peninsular India: an application of extreme learning machine
- (2013) Nachiketa Acharya et al. CLIMATE DYNAMICS
- Nelder-Mead Simplex Optimization Routine for Large-Scale Problems: A Distributed Memory Implementation
- (2013) Kyle Klein et al. Computational Economics
- Application of extreme learning machine for estimating solar radiation from satellite data
- (2013) Mehmet Şahin et al. INTERNATIONAL JOURNAL OF ENERGY RESEARCH
- Prediction of daily suspended sediment load using wavelet and neurofuzzy combined model
- (2013) T. Rajaee et al. International Journal of Environmental Science and Technology
- Multiple regression and Artificial Neural Network for long-term rainfall forecasting using large scale climate modes
- (2013) F. Mekanik et al. JOURNAL OF HYDROLOGY
- Multiscale streamflow forecasting using a new Bayesian Model Average based ensemble multi-wavelet Volterra nonlinear method
- (2013) Maheswaran Rathinasamy et al. JOURNAL OF HYDROLOGY
- Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models
- (2013) A. Belayneh et al. JOURNAL OF HYDROLOGY
- Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models
- (2013) Mukesh K. Tiwari et al. WATER RESOURCES RESEARCH
- Towards adaptive and integrated management paradigms to meet the challenges of water governance
- (2013) J. Halbe et al. WATER SCIENCE AND TECHNOLOGY
- Artificial neural networks models for predicting effective drought index: Factoring effects of rainfall variability
- (2013) Muthoni Masinde Mitigation and Adaptation Strategies for Global Change
- Application of artificial neural networks to rainfall forecasting in Queensland, Australia
- (2012) John Abbot et al. ADVANCES IN ATMOSPHERIC SCIENCES
- Modelling of air temperature using remote sensing and artificial neural network in Turkey
- (2012) Mehmet Şahin ADVANCES IN SPACE RESEARCH
- Comparison of ANN and MLR models for estimating solar radiation in Turkey using NOAA/AVHRR data
- (2012) Mehmet Şahin et al. ADVANCES IN SPACE RESEARCH
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- (2012) Umut Okkan et al. ENVIRONMETRICS
- Comparison of multi-monthly rainfall-based drought severity indices, with application to semi-arid Konya closed basin, Turkey
- (2012) Selim Dogan et al. JOURNAL OF HYDROLOGY
- Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008)
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- Multi-lead ahead prediction model of reference evapotranspiration utilizing ANN with ensemble procedure
- (2012) Ahmed El-Shafie et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
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- (2012) S. Sadri et al. WATER RESOURCES RESEARCH
- Wavelet regression models for predicting flood stages in rivers: a case study in Eastern India
- (2012) R.R. Sahay et al. Journal of Flood Risk Management
- Extreme Learning Machine for Regression and Multiclass Classification
- (2011) Guang-Bin Huang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
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- Comparing Sigmoid Transfer Functions for Neural Network Multistep Ahead Streamflow Forecasting
- (2010) H. Yonaba et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms
- (2010) Jan Adamowski et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds
- (2010) Jan Adamowski et al. JOURNAL OF HYDROLOGY
- Development of an accurate and reliable hourly flood forecasting model using wavelet–bootstrap–ANN (WBANN) hybrid approach
- (2010) Mukesh K. Tiwari et al. JOURNAL OF HYDROLOGY
- Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques
- (2010) C.L. Wu et al. JOURNAL OF HYDROLOGY
- A review of drought concepts
- (2010) Ashok K. Mishra et al. JOURNAL OF HYDROLOGY
- Application of linear stochastic models for drought forecasting in the Büyük Menderes river basin, western Turkey
- (2010) Ömer Faruk Durdu STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate
- (2009) C. A. MCALPINE et al. GLOBAL CHANGE BIOLOGY
- Development of a new method of wavelet aided trend detection and estimation
- (2009) Kaz Adamowski et al. HYDROLOGICAL PROCESSES
- Potential of support vector regression for prediction of monthly streamflow using endogenous property
- (2009) Rajib Maity et al. HYDROLOGICAL PROCESSES
- Evaluation, modification, and application of the Effective Drought Index to 200-Year drought climatology of Seoul, Korea
- (2009) Do-Woo Kim et al. JOURNAL OF HYDROLOGY
- Methods to improve neural network performance in daily flows prediction
- (2009) C.L. Wu et al. JOURNAL OF HYDROLOGY
- Future pattern of Asian drought under global warming scenario
- (2009) Do-Woo Kim et al. THEORETICAL AND APPLIED CLIMATOLOGY
- A Multivariate ANN-Wavelet Approach for Rainfall–Runoff Modeling
- (2009) Vahid Nourani et al. WATER RESOURCES MANAGEMENT
- Non-linear variable selection for artificial neural networks using partial mutual information
- (2008) Robert J. May et al. ENVIRONMENTAL MODELLING & SOFTWARE
- River flow forecasting and estimation using different artificial neural network techniques
- (2008) Özgür Kişi HYDROLOGY RESEARCH
- Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis
- (2008) Jan F. Adamowski JOURNAL OF HYDROLOGY
- Study of indices for drought characterization in KBK districts in Orissa (India)
- (2007) R. P. Pandey et al. HYDROLOGICAL PROCESSES
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