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Artificial Neural Networks in Hydrology (Water Science and Technology Library, 36, Band 36)
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Artificial Neural Networks in Hydrology (Water Science and Technology Library, 36, Band 36) - Livres de poche

2009, ISBN: 9789048154210

Series Editor: Rao, A. Ramachandra, Springer Netherlands, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2000, 352 Seiten, Publiziert: 2009-12-28T00:00:01Z, Produktgruppe: B… Plus…

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Artificial Neural Networks in Hydrology (Water Science and Technology Library, 36, Band 36) - Livres de poche

2009, ISBN: 9789048154210

Series Editor: Rao, A. Ramachandra, Springer Netherlands, Taschenbuch, Auflage: Softcover reprint of hardcover 1st ed. 2000, 352 Seiten, Publiziert: 2009-12-28T00:00:01Z, Produktgruppe: B… Plus…

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Artificial Neural Networks in Hydrology - Rao, A. R. (Herausgeber); Govindaraju, R. S. (Herausgeber)
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Rao, A. R. (Herausgeber); Govindaraju, R. S. (Herausgeber):
Artificial Neural Networks in Hydrology - Livres de poche

2010

ISBN: 9048154219

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Softcover reprint of hardcover 1st ed. 2000 Kartoniert / Broschiert Mathematische Physik, Geologie und die Lithosphäre, Theoretische Informatik, artificialneuralnetwork; Groundwater; Le… Plus…

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Artificial Neural Networks in Hydrology - Livres de poche

2010, ISBN: 9048154219

[EAN: 9789048154210], Nieuw boek, [SC: 13.94], [PU: Springer], Print on Demand pp. 352 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam, Books

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R.S. Govindaraju:
Artificial Neural Networks in Hydrology - Livres de poche

2010, ISBN: 9048154219

[EAN: 9789048154210], Nieuw boek, [SC: 3.57], [PU: Springer], PRINT ON DEMAND Book; New; Fast Shipping from the UK., Books

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Artificial Neural Networks in Hydrology (Water Science and Technology Library, 36, Band 36)

The past decade has witnessed a flurry of hydrologic research activity related to artificial neural networks (ANNs). This volume is a compilation of chapters that have been contributed by researchers from several countries, and represents a wide spectrum of ANN applications in hydrology. Future potential of ANN applications has been identified at appropriate places. Readers of the book will find chapters dealing with preliminary aspects as well as advanced features of ANNs. With a unique focus towards hydrologic applications, this book will serve as a valuable reference for graduate students, research workers, and professionals interested in learning more about this computational tool. The goal of this book is to help ANNs find greater acceptability among researchers and practising hydrologists alike.

Informations détaillées sur le livre - Artificial Neural Networks in Hydrology (Water Science and Technology Library, 36, Band 36)


EAN (ISBN-13): 9789048154210
ISBN (ISBN-10): 9048154219
Version reliée
Livre de poche
Date de parution: 2010
Editeur: Govindaraju, R. S. Springer Netherlands
352 Pages
Poids: 0,532 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2012-02-15T15:29:30+01:00 (Zurich)
Page de détail modifiée en dernier sur 2023-07-18T18:52:40+02:00 (Zurich)
ISBN/EAN: 9789048154210

ISBN - Autres types d'écriture:
90-481-5421-9, 978-90-481-5421-0
Autres types d'écriture et termes associés:
Auteur du livre: govinda, rao
Titre du livre: neural networks


Données de l'éditeur

Auteur: R.S. Govindaraju; A.R. Rao
Titre: Water Science and Technology Library; Artificial Neural Networks in Hydrology
Editeur: Springer; Springer Netherland
332 Pages
Date de parution: 2010-12-07
Dordrecht; NL
Imprimé / Fabriqué en
Langue: Anglais
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XVI, 332 p.

BC; Hardcover, Softcover / Geowissenschaften/Geologie; Geologie und die Lithosphäre; Verstehen; artificial neural network; groundwater; hydrology; learning; linear optimization; modeling; network; neural networks; hydrogeology; Geology; Complex Systems; Theory of Computation; Theoretical, Mathematical and Computational Physics; Kybernetik und Systemtheorie; Theoretische Informatik; Mathematische Physik; BB

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.

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