Bootstrap rank-ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Bootstrap rank-ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling
Authors
Keywords
-
Journal
WATER RESOURCES RESEARCH
Volume 52, Issue 3, Pages 2299-2326
Publisher
American Geophysical Union (AGU)
Online
2016-02-25
DOI
10.1002/2015wr016959
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Using information theory to identify redundancy in common laboratory tests in the intensive care unit
- (2015) Joon Lee et al. BMC Medical Informatics and Decision Making
- Integrating Entropy and Copula Theories for Hydrologic Modeling and Analysis
- (2015) Zengchao Hao et al. Entropy
- Assessing Coupling Dynamics from an Ensemble of Time Series
- (2015) Germán Gómez-Herrero et al. Entropy
- Improved PMI-based input variable selection approach for artificial neural network and other data driven environmental and water resource models
- (2015) Xuyuan Li et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Selection of significant input variables for time series forecasting
- (2015) H.D. Tran et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Nonlinear regression in environmental sciences using extreme learning machines: A comparative evaluation
- (2015) Aranildo R. Lima et al. ENVIRONMENTAL MODELLING & SOFTWARE
- The application of Dynamic Linear Bayesian Models in hydrological forecasting: Varying Coefficient Regression and Discount Weighted Regression
- (2015) Maurycy Ciupak et al. JOURNAL OF HYDROLOGY
- Artificial intelligence based models for stream-flow forecasting: 2000–2015
- (2015) Zaher Mundher Yaseen et al. JOURNAL OF HYDROLOGY
- Medium-Term Urban Water Demand Forecasting with Limited Data Using an Ensemble Wavelet–Bootstrap Machine-Learning Approach
- (2015) Mukesh K. Tiwari et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Medium-Term Urban Water Demand Forecasting with Limited Data Using an Ensemble Wavelet–Bootstrap Machine-Learning Approach
- (2015) Mukesh K. Tiwari et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- High-Performance Extreme Learning Machines: A Complete Toolbox for Big Data Applications
- (2015) Anton Akusok et al. IEEE Access
- An evaluation framework for input variable selection algorithms for environmental data-driven models
- (2014) Stefano Galelli et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Selection of smoothing parameter estimators for general regression neural networks – Applications to hydrological and water resources modelling
- (2014) Xuyuan Li et al. ENVIRONMENTAL MODELLING & SOFTWARE
- 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
- Entropy–Copula in Hydrology and Climatology
- (2014) Amir AghaKouchak JOURNAL OF HYDROMETEOROLOGY
- A water resources management strategy for small water districts — a case study of the South East Kelowna irrigation district
- (2013) Michael Cresswell et al. CANADIAN JOURNAL OF CIVIL ENGINEERING
- Determination of Input for Artificial Neural Networks for Flood Forecasting Using the Copula Entropy Method
- (2013) Lu Chen et al. JOURNAL OF HYDROLOGIC ENGINEERING
- 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
- Copula entropy coupled with artificial neural network for rainfall–runoff simulation
- (2013) Lu Chen et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Estimating epistemic and aleatory uncertainties during hydrologic modeling: An information theoretic approach
- (2013) Wei Gong et al. WATER RESOURCES RESEARCH
- Tree-based iterative input variable selection for hydrological modeling
- (2013) S. Galelli et al. WATER RESOURCES RESEARCH
- Urban water demand forecasting and uncertainty assessment using ensemble wavelet-bootstrap-neural network models
- (2013) Mukesh K. Tiwari et al. WATER RESOURCES RESEARCH
- An information theoretic alternative to model a natural system using observational information alone
- (2013) Ashish Sharma et al. WATER RESOURCES RESEARCH
- Nearest neighbor estimate of conditional mutual information in feature selection
- (2012) Alkiviadis Tsimpiris et al. EXPERT SYSTEMS WITH APPLICATIONS
- A Spectral Analysis Based Methodology to Detect Climatological Influences on Daily Urban Water Demand
- (2012) Jan Adamowski et al. Mathematical Geosciences
- Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting
- (2012) Robert J. Abrahart et al. PROGRESS IN PHYSICAL GEOGRAPHY
- Extraction of information content from stochastic disaggregation and bias corrected downscaled precipitation variables for crop simulation
- (2012) Ashok K. Mishra et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy
- (2012) Salvatore Campisi-Pinto et al. WATER RESOURCES MANAGEMENT
- Video quality for face detection, recognition, and tracking
- (2011) Pavel Korshunov et al. ACM Transactions on Multimedia Computing Communications and Applications
- Estimation of mutual information using copula density function
- (2011) X. Zeng et al. ELECTRONICS LETTERS
- Extreme Learning Machine for Regression and Multiclass Classification
- (2011) Guang-Bin Huang et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Prediction of event-based stormwater runoff quantity and quality by ANNs developed using PMI-based input selection
- (2011) Jianxun He et al. JOURNAL OF HYDROLOGY
- Separation theorem for independent subspace analysis and its consequences
- (2011) Zoltán Szabó et al. PATTERN RECOGNITION
- Sequence Alignment, Mutual Information, and Dissimilarity Measures for Constructing Phylogenies
- (2011) Orion Penner et al. PLoS One
- Input variable selection for median flood regionalization
- (2011) W. Z. Wan Jaafar et al. WATER RESOURCES RESEARCH
- Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for urban water demand forecasting in Montreal, Canada
- (2011) Jan Adamowski et al. WATER RESOURCES RESEARCH
- Mutual information is copula entropy
- (2011) Jian Ma et al. TSINGHUA SCIENCE AND TECHNOLOGY
- 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
- 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
- Statistical modeling of daily urban water consumption in Hong Kong: Trend, changing patterns, and forecast
- (2010) Jefferson See Wong 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
- An information-theoretic approach to statistical dependence: Copula information
- (2009) R. S. Calsaverini et al. EPL
- Application of partial mutual information variable selection to ANN forecasting of water quality in water distribution systems
- (2008) Robert J. May et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Non-linear variable selection for artificial neural networks using partial mutual information
- (2008) Robert J. May et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Spatiotemporal dynamics of the magnetosphere during geospace storms: Mutual information analysis
- (2008) J. Chen et al. JOURNAL OF GEOPHYSICAL RESEARCH
- 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
- Peak Daily Water Demand Forecast Modeling Using Artificial Neural Networks
- (2008) Jan Franklin Adamowski JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Inferring the directionality of coupling with conditional mutual information
- (2008) Martin Vejmelka et al. PHYSICAL REVIEW E
- A computationally efficient estimator for mutual information
- (2008) D. Evans PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
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 MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started