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Neural Networks for Hydrological Modeling

Neural Networks for Hydrological Modeling by Robert Abrahart
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1. Why Use Neural Networks? Pauline E.Kneale, Linda M. See & Robert J.Abrahart  2. Neural Network Modelling: Basic Tools and Broader Issues Robert J.Abrahart  3. Single Network Modelling Solutions Christian W.Dawson & Robert L.Wilby  4. Hybrid Neural Network Modelling Solutions Asaad Y.Shamseldin  5. The Application of Time Delay Neural Networks to River Level Forecasting Linda M.See & Pauline E.Kneale  6. The Application of Cascade Correlation Neural Networks to River Flow Forecasting Claire E.Imrie  7. The Use of Partial Recurrent Neural Networks for Autoregressive Modelling of Dynamic Hydrological Systems Henk F.P.van den Boogaard   8. RLF1/ Flood Forecasting via the Internet Simon A.Corne & Stan Openshaw  9. Rainfall-Runoff Modelling Anthony W.Minns & Michael J.Hall  10. A Neural Network Approach to Rainfall Forecasting in Urban Environments James E.Ball & Kin Choi Luk  11. Water Quality and Ecological Management in Freshwaters Pauline E.Kneale  12. Neural Network Modelling of Sediment Supply and Transfer Susan M.White  13. Nowcasting products from Meteorological Satellite Imagery George S.Pankiewicz  14. Mapping Land Cover from Remotely Sensed Imagery for Input to Hydrological Models Giles M.Foody  15. Towards a Hydrological Research Agenda Robert J.Abrahart, Pauline E.Kneale & Linda M.See  Index
CRC Press; May 2004
316 pages; ISBN 9780203024119
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Title: Neural Networks for Hydrological Modeling
Author: Robert Abrahart; P.E. Kneale; Linda M. See
 
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