Articles | Volume 14, issue 10 
            
                
                    
            
            
            
        https://doi.org/10.5194/hess-14-1931-2010
                    © Author(s) 2010. This work is distributed under the Creative Commons Attribution 3.0 License.
                Experimental investigation of the predictive capabilities of data driven modeling techniques in hydrology - Part 1: Concepts and methodology
Related subject area
            Subject: Engineering Hydrology | Techniques and Approaches: Mathematical applications
            
                    
                        
                            
                            
                                     
                                Enhancing the usability of weather radar data for the statistical analysis of extreme precipitation events
                                
                                    
                            
                        
                    
                    
                        
                            
                            
                                     
                                Socio-hydrological data assimilation: analyzing human–flood interactions by model–data integration
                                
                                    
                            
                        
                    
                    
                        
                            
                            
                                     
                                Optimal design of hydrometric station networks based on complex network analysis
                                
                                    
                            
                        
                    
                    
                        
                            
                            
                                     
                                Flood trends along the Rhine: the role of river training
                                
                                    
                            
                        
                    
                    
                        
                            
                            
                                     
                                Non-stationary flood frequency analysis in continental Spanish rivers, using climate and reservoir indices as external covariates
                                
                                    
                            
                        
                    
                    
                    
                    
                    
                    
                    
            
        
        Hydrol. Earth Syst. Sci., 26, 5069–5084,  2022
                                    
                                    
                            Hydrol. Earth Syst. Sci., 24, 4777–4791,  2020
                                    
                                    
                            Hydrol. Earth Syst. Sci., 24, 2235–2251,  2020
                                    
                                    
                            Hydrol. Earth Syst. Sci., 17, 3871–3884,  2013
                            Hydrol. Earth Syst. Sci., 17, 3189–3203,  2013
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                        Abrahart, R., See, L., and Dawson, C.: Neural Network hydroinformatics: Maintaining scientific rigour, in: Practical hydroinformatics. Computational intelligence and technological developments in water applications, edited by: Abrahart, R., See, L., and Solomatine, D., Springer-Verlag, Berlin, Heidelberg, Germany, 33–47, 2008.
                    
                
                        
                        ASCE Task Committee on Application of Artificial Neural Networks in Hydrology, Artificial neural networks in hydrology, I: Preliminary concepts, J. Hydrol. Eng., 5(Eq. (2)), 115–123, 2000.
                    
                
                        
                        Babovic, V. and Keijzer, M.: Rainfall-runoff modelling based on genetic programming, Nord. Hydrol., 33(5), 331–346, 2002.
                    
                
                        
                        Babovic, V. and Keijzer, M.: Genetic Programming as Model Induction Engine, J. Hydroinform., 2(Eq. (1)), 35–60, 2000.
                    
                 
 
                        
                                         
                        
                                         
                        
                                         
             
             
             
            