Related references
Note: Only part of the references are listed.STRUCTURAL EQUATION MODELLING: A NOVEL STATISTICAL FRAMEWORK FOR EXPLORING THE SPATIAL DISTRIBUTION OF BENTHIC MACROINVERTEBRATES IN RIVERINE ECOSYSTEMS
S. Bizzi et al.
RIVER RESEARCH AND APPLICATIONS (2013)
Assessing the predictive capability of randomized tree-based ensembles in streamflow modelling
S. Galelli et al.
HYDROLOGY AND EARTH SYSTEM SCIENCES (2013)
Advances in variable selection methods I: Causal selection methods versus stepwise regression and principal component analysis on data of known and unknown functional relationships
H. Ssegane et al.
JOURNAL OF HYDROLOGY (2012)
A virtual sensor system for user-generated, real-time environmental data products
David J. Hill et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2011)
Statistical downscaling of rainfall data using sparse variable selection methods
A. Phatak et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2011)
Coping with model structural uncertainty in medium-term hydro-climatic forecasting
Ashish Sharma et al.
HYDROLOGY RESEARCH (2011)
Effect of Pruning and Smoothing while Using M5 Model Tree Technique for Reservoir Inflow Prediction
V. Jothiprakash et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2011)
Long-Range Forecasting of Colorado Streamflows Based on Hydrologic, Atmospheric, and Oceanic Data
Jose D. Salas et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2011)
Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction
R. Noori et al.
JOURNAL OF HYDROLOGY (2011)
Input variable selection for median flood regionalization
W. Z. Wan Jaafar et al.
WATER RESOURCES RESEARCH (2011)
Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions
Holger R. Maier et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2010)
Upper Green River Basin (United States) Streamflow Reconstructions
F. Anthony Barnett et al.
JOURNAL OF HYDROLOGIC ENGINEERING (2010)
Establishing environmental flow regimes in a Mediterranean watershed based on a regional classification
Jorge Alcazar et al.
JOURNAL OF HYDROLOGY (2010)
Tree-based reinforcement learning for optimal water reservoir operation
A. Castelletti et al.
WATER RESOURCES RESEARCH (2010)
Input variable selection for water resources systems using a modified minimum redundancy maximum relevance (mMRMR) algorithm
Mohamad I. Hejazi et al.
ADVANCES IN WATER RESOURCES (2009)
Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques
A. Moghaddamnia et al.
ADVANCES IN WATER RESOURCES (2009)
A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series
Wen-Chuan Wang et al.
JOURNAL OF HYDROLOGY (2009)
Selection of input variables for data driven models: An average shifted histogram partial mutual information estimator approach
T. M. K. G. Fernando et al.
JOURNAL OF HYDROLOGY (2009)
Non-linear variable selection for artificial neural networks using partial mutual information
Robert J. May et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2008)
Environmental Sensor Networks: A revolution in the earth system science?
Jane K. Hart et al.
EARTH-SCIENCE REVIEWS (2006)
Extremely randomized trees
P Geurts et al.
MACHINE LEARNING (2006)
Regionalisation of the parameters of a hydrological model: Comparison of linear regression models with artificial neural nets
G Heuvelmans et al.
JOURNAL OF HYDROLOGY (2006)
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
HC Peng et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)
Input determination for neural network models in water resources applications. Part 1 - background and methodology
GJ Bowden et al.
JOURNAL OF HYDROLOGY (2005)
Input determination for neural network models in water resources applications. Part 2. Case study: forecasting salinity in a river
GJ Bowden et al.
JOURNAL OF HYDROLOGY (2005)
Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information
TWS Chow et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2005)
Input feature selection for classification problems
N Kwak et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2002)
Neural network modeling of salinity variation in Apalachicola River
WR Huang et al.
WATER RESEARCH (2002)
Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 1 - A strategy for system predictor identification
A Sharma
JOURNAL OF HYDROLOGY (2000)
Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 2 - Predictor identification of quarterly rainfall using ocean-atmosphere information
A Sharma et al.
JOURNAL OF HYDROLOGY (2000)
Share Paper
