. .
Deutsch
Deutschland
Ähnliche Bücher
Weitere, andere Bücher, die diesem Buch sehr ähnlich sein könnten:
Buch verkaufen
Anbieter, die das Buch mit der ISBN 9783319092348 ankaufen:
Suchtools
Anmelden

Anmelden mit Facebook:

Registrieren
Passwort vergessen?


Such-Historie
Merkliste
Links zu eurobuch.de

Dieses Buch teilen auf…
Buchtipps
Aktuelles
Tipp von eurobuch.de
Werbung
FILTER
- 0 Ergebnisse
Kleinster Preis: 106,99 €, größter Preis: 121,23 €, Mittelwert: 109,84 €
Hydrological Data Driven Modelling - Renji Remesan
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Renji Remesan:
Hydrological Data Driven Modelling - gebunden oder broschiert

ISBN: 9783319092348

ID: 9783319092348

A Case Study Approach This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space. Hydrological Data Driven Modelling: This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space. Geologie / Hydrogeologie Hydrogeologie - Hydrologie Hydrologie ( Hydrogeologie ) Bau / Tiefbau Tiefbau SCIENCE / Earth Sciences / Hydrology, Springer-Verlag Gmbh

Neues Buch Rheinberg-Buch.de
Buch, Englisch, Neuware Versandkosten:Ab 20¤ Versandkostenfrei in Deutschland, Sofort lieferbar, DE. (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Hydrological Data Driven Modelling - Renji Remesan
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Renji Remesan:
Hydrological Data Driven Modelling - neues Buch

ISBN: 9783319092348

ID: 21542d7ce3dfa85b03dfb01c53aa0e83

This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Geowissenschaften / Sonstiges

Neues Buch Dodax.de
Nr. 58bff386b9d9cc0937f3e2b6 Versandkosten:Versandkosten: 0.0 EUR, Lieferzeit: 4 Tage, DE. (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Hydrological Data Driven Modelling - Renji Remesan
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Renji Remesan:
Hydrological Data Driven Modelling - neues Buch

2014, ISBN: 9783319092348

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space., [SC: 0.00]

Neues Buch Booklooker.de
Buchhandlung Kühn GmbH
Versandkosten:Versandkostenfrei, Versand nach Deutschland (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Hydrological Data Driven Modelling - Renji Remesan
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Renji Remesan:
Hydrological Data Driven Modelling - neues Buch

2014, ISBN: 9783319092348

[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space., [SC: 0.00]

Neues Buch Booklooker.de
buchZ AG
Versandkosten:Versandkostenfrei, Versand nach Deutschland (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
Hydrological Data Driven Modelling A Case Study Approach - Remesan, Renji; Mathew, Jimson
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Remesan, Renji; Mathew, Jimson:
Hydrological Data Driven Modelling A Case Study Approach - gebunden oder broschiert

2014, ISBN: 3319092340

ID: A22597088

Gebundene Ausgabe Geologie / Hydrogeologie, Hydrogeologie - Hydrologie, Hydrologie ( Hydrogeologie ), Bau / Tiefbau, Tiefbau, SCIENCE / Earth Sciences / Hydrology, mit Schutzumschlag neu, [PU:Springer-Verlag GmbH]

Neues Buch Achtung-Buecher.de
REDIVIVUS Buchhandlung Hanausch Reinhard, 93053 Regensburg
Versandkosten:Versandkostenfrei innerhalb der BRD (EUR 0.00)
Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.

Details zum Buch
Hydrological Data Driven Modelling: A Case Study Approach
Autor:

Renji Remesan, Jimson Mathew

Titel:

Hydrological Data Driven Modelling: A Case Study Approach

ISBN-Nummer:

Detailangaben zum Buch - Hydrological Data Driven Modelling: A Case Study Approach


EAN (ISBN-13): 9783319092348
ISBN (ISBN-10): 3319092340
Gebundene Ausgabe
Erscheinungsjahr: 2014
Herausgeber: Springer International Publishing

Buch in der Datenbank seit 10.10.2014 07:00:28
Buch zuletzt gefunden am 04.04.2017 20:22:56
ISBN/EAN: 9783319092348

ISBN - alternative Schreibweisen:
3-319-09234-0, 978-3-319-09234-8


< zum Archiv...
Benachbarte Bücher