Artificial Neural Networks in Hydrology
Springer (Verlag)
978-90-481-5421-0 (ISBN)
1. Effective and Efficient Modeling for Streamflow Forecasting.- 2. Streamflow Forecasting Based on Artificial Neural Networks.- 3. Real Time Forecasting Using Neural Networks.- 4. Modular Neural Networks for Watershed Runoff.- 5. Radial-Basis Function Networks.- 6. Artificial Neural Networks in Subsurface Characterization.- 7. Optimal Groundwater Remediation Using Artificial Neural Networks.- 8. Adaptive Neural Networks in Regulation of River Flows.- 9. Identification of Pollution Sources via Neural Networks.- 10. Spatial Organization and Characterization of Soil Physical Properties Using Self-Organizing Maps.- 11. Rainfall Estimation from Satellite Imagery.- 12. Streamflow Data Infilling Techniques Based on Concepts of Groups and Neural Networks.- 13. Spatial Analysis of Hydrologic and Environmental Data Based on Artificial Neural Networks.- 14. Application of Artificial Neural Networks to Forecasting of Surface Water Quality Variables: Issues, Applications and Challenges.- 15. Long Range Precipitation Prediction in California: A Look Inside The “Black Box” of a Trained Network.
Erscheint lt. Verlag | 7.12.2010 |
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Reihe/Serie | Water Science and Technology Library ; 36 |
Zusatzinfo | XVI, 332 p. |
Verlagsort | Dordrecht |
Sprache | englisch |
Maße | 160 x 240 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
Naturwissenschaften ► Geowissenschaften ► Geologie | |
Naturwissenschaften ► Geowissenschaften ► Hydrologie / Ozeanografie | |
Naturwissenschaften ► Physik / Astronomie ► Thermodynamik | |
ISBN-10 | 90-481-5421-9 / 9048154219 |
ISBN-13 | 978-90-481-5421-0 / 9789048154210 |
Zustand | Neuware |
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