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List of Accepted Contributions - NH11.06 Data-driven and computational intelligence methods in flood forecasting
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EGU05-A-00019 Dawson, C; Abrahart, R; Shamseldin, A; Wilby, R; See, L Neural network solutions to flood estimation at ungauged sites |
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EGU05-A-00354 Stravs, L.; Vidmar, A.; Brilly, M. Flood forecasting at the Savinja River basin using M5 model trees method |
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EGU05-A-01616 Solomatine, D.P.; Bhattacharya, B.; Shrestha, D.L. Data-driven modelling vs. machine learning in flood forecasting |
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EGU05-A-02478 Parasuraman, K.; Elshorbagy, A. Cluster-based streamflow prediction using genetic algorithm-trained neural networks |
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EGU05-A-02735 Alvisi, S.; Mascellani, G.; Franchini, M.; Bardossy, A. Water level forecasting through neural network and fuzzy logic approaches: a comparison. |
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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 |
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EGU05-A-02939 Jacquin, A.P.; Shamseldin, A.Y. Development of rainfall-runoff models using Mamdani type fuzzy inference systems |
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EGU05-A-03180 Jha, S. K.; Jain, A. Identification of Trends in Training of ANN Rainfall-Runoff Models for Improved Training Performance |
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EGU05-A-03510 Tamea, S; Laio, F; Ridolfi, L Probabilistic nonlinear prediction of river flows |
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EGU05-A-04176 Yu, P. S.; Chen, S. T.; Chang, I. F. Flood stage forecasting using support vector machines |
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EGU05-A-06049 Rajurkar, M.P.; Ojha, Swati Application of ANN for daily rainfall runoff modeling |
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EGU05-A-06959 de Vos, N.; Rientjes, T. Objective Functions in Artificial Neural Network Training for Rainfall-Runoff Modelling |
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EGU05-A-07696 Garrote, L; Molina, M; Mediero, L Calibration of data-driven models using Monte-Carlo simulation: the case of Bayesian networks |
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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 |
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EGU05-A-09925 Toth, E.; Brath, A. Influence of the temporal observation interval on the implementation of artificial neural networks for streamflow prediction |
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EGU05-A-10114 OBREGÓN, N.; Rivera, H.; Quijano, J.C. Predicting Daily Water Levels Employing a Fuzzy Approach |
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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) |
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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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