Tree-based iterative input variable selection for hydrological modeling

Advances in variable selection methods I: Causal selection methods versus stepwise regression and principal component analysis on data of known and unknown functional relationships

(2012) H. Ssegane et al.   JOURNAL OF HYDROLOGY

STRUCTURAL EQUATION MODELLING: A NOVEL STATISTICAL FRAMEWORK FOR EXPLORING THE SPATIAL DISTRIBUTION OF BENTHIC MACROINVERTEBRATES IN RIVERINE ECOSYSTEMS

(2012) S. Bizzi et al.   RIVER RESEARCH AND APPLICATIONS

A virtual sensor system for user-generated, real-time environmental data products

(2011) David J. Hill et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Statistical downscaling of rainfall data using sparse variable selection methods

(2011) A. Phatak et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Coping with model structural uncertainty in medium-term hydro-climatic forecasting

(2011) Ashish Sharma et al.   HYDROLOGY RESEARCH

Assessment of input variables determination on the SVM model performance using PCA, Gamma test, and forward selection techniques for monthly stream flow prediction

(2011) R. Noori et al.   JOURNAL OF HYDROLOGY

Input variable selection for median flood regionalization

(2011) W. Z. Wan Jaafar et al.   WATER RESOURCES RESEARCH

Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions

(2010) Holger R. Maier et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Effect of Pruning and Smoothing while Using M5 Model Tree Technique for Reservoir Inflow Prediction

(2010) V. Jothiprakash et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Long-Range Forecasting of Colorado Streamflows Based on Hydrologic, Atmospheric, and Oceanic Data

(2010) Jose D. Salas et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Establishing environmental flow regimes in a Mediterranean watershed based on a regional classification

(2010) Jorge Alcázar et al.   JOURNAL OF HYDROLOGY

Tree-based reinforcement learning for optimal water reservoir operation

(2010) A. Castelletti et al.   WATER RESOURCES RESEARCH

Input variable selection for water resources systems using a modified minimum redundancy maximum relevance (mMRMR) algorithm

(2009) Mohamad I. Hejazi et al.   ADVANCES IN WATER RESOURCES

Upper Green River Basin (United States) Streamflow Reconstructions

(2009) F. Anthony Barnett et al.   JOURNAL OF HYDROLOGIC ENGINEERING

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

(2009) Wen-Chuan Wang et al.   JOURNAL OF HYDROLOGY

Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques

(2008) A. Moghaddamnia et al.   ADVANCES IN WATER RESOURCES

Non-linear variable selection for artificial neural networks using partial mutual information

(2008) Robert J. May et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Selection of input variables for data driven models: An average shifted histogram partial mutual information estimator approach

(2008) T.M.K.G. Fernando et al.   JOURNAL OF HYDROLOGY