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Hydrological Data Driven Modelling - Renji Remesan
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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

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Hydrological Data Driven Modelling - Renji Remesan
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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: 2.00]

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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]

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Hydrological Data Driven Modelling - Renji Remesan
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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]

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Hydrological Data Driven Modelling - Renji Remesan
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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]

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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:

9783319092348

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 13.09.2016 07:22:17
ISBN/EAN: 9783319092348

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

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