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  List of Accepted Contributions - NH11.06 Data-driven and computational intelligence methods in flood forecasting

Please, click Abstract Number to find the corresponding abstract as PDF file; if necessary, download Adobe Acrobat Reader 4.0 first to open the file. Any abstract may be freely reproduced for non-commercial, scientific purposes; however, the moral right of the author(s) to be identified as the author(s) of such abstracts is asserted.

EGU05-A-00019
Dawson, C; Abrahart, R; Shamseldin, A; Wilby, R; See, L
Neural network solutions to flood estimation at ungauged sites

EGU05-A-00354
Stravs, L.; Vidmar, A.; Brilly, M.
Flood forecasting at the Savinja River basin using M5 model trees method

EGU05-A-01616
Solomatine, D.P.; Bhattacharya, B.; Shrestha, D.L.
Data-driven modelling vs. machine learning in flood forecasting

EGU05-A-02478
Parasuraman, K.; Elshorbagy, A.
Cluster-based streamflow prediction using genetic algorithm-trained neural networks

EGU05-A-02735
Alvisi, S.; Mascellani, G.; Franchini, M.; Bardossy, A.
Water level forecasting through neural network and fuzzy logic approaches: a comparison.

EGU05-A-02911
See, L.; Shamseldin, A.; Abrahart, R.
Neural network river flow forecasting: the role of hidden neurons in a regulated catchment with arterial drainage modifications

EGU05-A-02939
Jacquin, A.P.; Shamseldin, A.Y.
Development of rainfall-runoff models using Mamdani type fuzzy inference systems

EGU05-A-03180
Jha, S. K.; Jain, A.
Identification of Trends in Training of ANN Rainfall-Runoff Models for Improved Training Performance

EGU05-A-03510
Tamea, S; Laio, F; Ridolfi, L
Probabilistic nonlinear prediction of river flows

EGU05-A-04176
Yu, P. S.; Chen, S. T.; Chang, I. F.
Flood stage forecasting using support vector machines

EGU05-A-06049
Rajurkar, M.P.; Ojha, Swati
Application of ANN for daily rainfall runoff modeling

EGU05-A-06959
de Vos, N.; Rientjes, T.
Objective Functions in Artificial Neural Network Training for Rainfall-Runoff Modelling

EGU05-A-07696
Garrote, L; Molina, M; Mediero, L
Calibration of data-driven models using Monte-Carlo simulation: the case of Bayesian networks

EGU05-A-09228
Cluckie, I. D.; Moghaddamnia, A.; Han , D. ; Kraft , R.
Using an Adaptive Neuro-Fuzzy Inference System in the development of a real-time expert system for flood forecasting

EGU05-A-09925
Toth, E.; Brath, A.
Influence of the temporal observation interval on the implementation of artificial neural networks for streamflow prediction

EGU05-A-10114
OBREGÓN, N.; Rivera, H.; Quijano, J.C.
Predicting Daily Water Levels Employing a Fuzzy Approach

EGU05-A-10400
Goswami, M.; O'Connor, K.M.
Application of data-driven ANN and K-NN techniques for lead-time forecasting for two Irish catchments (withdrawn)

EGU05-A-10788
Doan, C.D.; Liong, S.-Y.; Chan, E.S.
Data-driven models for projecting ocean temperature profile from sea surface temperature (withdrawn)


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