Related references
Note: Only part of the references are listed.A machine learning-based approach to predict the velocity profiles in small streams
Onur Genc et al.
WATER RESOURCES MANAGEMENT (2016)
Stochastic structure of annual discharges of large European rivers
Milan Stojkovic et al.
JOURNAL OF HYDROLOGY AND HYDROMECHANICS (2015)
Wavelet Neural Modeling for Hydrologic Time Series Forecasting with Uncertainty Evaluation
Yan-Fang Sang et al.
WATER RESOURCES MANAGEMENT (2015)
Auto Regressive and Ensemble Empirical Mode Decomposition Hybrid Model for Annual Runoff Forecasting
Xue-hua Zhao et al.
WATER RESOURCES MANAGEMENT (2015)
Assessment of future groundwater recharge in semi-arid regions under climate change scenarios (Serral-Salinas aquifer, SE Spain). Could increased rainfall variability increase the recharge rate?
David Pulido-Velazquez et al.
HYDROLOGICAL PROCESSES (2015)
The impact of climate changes on rivers discharge in Eastern Romania
Adina-Eliza Croitoru et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2015)
A Comparison of Machine Learning Techniques for Modeling River Flow Time Series: The Case of Upper Cauvery River Basin
Shivshanker Singh Patel et al.
WATER RESOURCES MANAGEMENT (2015)
Supporting decision making under uncertainty: Development of a participatory integrated model for water management in the middle Guadiana river basin
Gema Carmona et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2013)
Generation of 10-day flow of the Brahmaputra River using a time series model
M. Shahjahan Mondal et al.
HYDROLOGY RESEARCH (2013)
Dynamic Bayesian Networks as a Decision Support tool for assessing Climate Change impacts on highly stressed groundwater systems
Jose-Luis Molina et al.
JOURNAL OF HYDROLOGY (2013)
Predictability of nonstationary time series using wavelet and EMD based ARMA models
L. Karthikeyan et al.
JOURNAL OF HYDROLOGY (2013)
Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir
Mohammad Valipour et al.
JOURNAL OF HYDROLOGY (2013)
MODELLING REFERENCE EVAPOTRANSPIRATION USING FEED FORWARD BACKPROPAGATION ALGORITHM IN ARID REGIONS OF AFRICA
Yu-Min Wang et al.
IRRIGATION AND DRAINAGE (2011)
Simulation-optimization framework for multi-season hybrid stochastic models
R. K. Srivastav et al.
JOURNAL OF HYDROLOGY (2011)
Two hybrid Artificial Intelligence approaches for modeling rainfall-runoff process
Vahid Nourani et al.
JOURNAL OF HYDROLOGY (2011)
Integrated water resources management of overexploited hydrogeological systems using Object-Oriented Bayesian Networks
J. L. Molina et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2010)
Genetic modeling for the optimal forecasting of hydrologic time-series: Application in Nestos River
Theodoros Koutroumanidis et al.
JOURNAL OF HYDROLOGY (2009)
Using adaptive neuro-fuzzy inference system for hydrological time series prediction
Mohammad Zounemat-Kermani et al.
APPLIED SOFT COMPUTING (2008)
A simple method for effective multi-site generation of stochastic hydrologic time series
Nesa Ilich et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2008)
Bayesian Networks and participatory modelling in water resource management
A. Castelletti et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2007)
Inferring operating rules for reservoir operations using fuzzy regression and ANFIS
S. J. Mousavi et al.
FUZZY SETS AND SYSTEMS (2007)
Challenges to manage the risk of water scarcity and climate change in the Mediterranean
Ana Iglesias et al.
WATER RESOURCES MANAGEMENT (2007)
Hybrid neural network models for hydrologic time series forecasting
Ashu Jain et al.
APPLIED SOFT COMPUTING (2007)
The implementation of a Bayesian network for watershed management decisions
Ahmed Said
WATER RESOURCES MANAGEMENT (2006)
Adaptive neuro-fuzzy inference system for prediction of water level in reservoir
FJ Chang et al.
ADVANCES IN WATER RESOURCES (2006)
A Markov switching model for annual hydrologic time series
B Akintug et al.
WATER RESOURCES RESEARCH (2005)
Groundwater level forecasting using artificial neural networks
IN Daliakopoulos et al.
JOURNAL OF HYDROLOGY (2005)
Advances in the application of the SWAT model for water resources management
R Jayakrishnan et al.
HYDROLOGICAL PROCESSES (2005)
Unsupervised learning of Bayesian networks via estimation of distribution algorithms: An application to gene expression data clustering
JM Pena et al.
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS (2004)
Water resources development in the lower Senegal River basin: Conflicting interests, environmental concerns and policy options
O Varis et al.
INTERNATIONAL JOURNAL OF WATER RESOURCES DEVELOPMENT (2002)
The importance of complexity in model selection
IJ Myung
JOURNAL OF MATHEMATICAL PSYCHOLOGY (2000)