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Hydrological Data Driven Modelling: A Case Study Approach Author
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Bester Preis: € 5,66 (vom 27.07.2019)Hydrological Data Driven Modelling
ISBN: 9783319350288 bzw. 3319350285, vermutlich in Englisch, Springer Shop, Taschenbuch, neu.
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. Soft cover.
Hydrological Data Driven Modelling
ISBN: 9783319350288 bzw. 3319350285, in Englisch, neu.
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: A Case Study Approach Renji Remesan Author
ISBN: 9783319350288 bzw. 3319350285, vermutlich in Englisch, Springer International Publishing, Taschenbuch, neu.
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: A Case Study Approach
ISBN: 9783319350288 bzw. 3319350285, vermutlich in Englisch, neu.
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 (2014)
ISBN: 9783319092348 bzw. 3319092340, in Deutsch, Springer International Publishing AG, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Hydrological Data Driven Modelling (2014)
ISBN: 9783319092348 bzw. 3319092340, in Deutsch, Springer-Verlag Gmbh Dez 2014, neu.
Von Händler/Antiquariat, Rhein-Team Lörrach Ivano Narducci e.K. [57451429], Lörrach, Germany.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Hydrological Data Driven Modelling (2014)
ISBN: 9783319092348 bzw. 3319092340, in Deutsch, Springer-Verlag Gmbh Dez 2014, neu.
Von Händler/Antiquariat, Agrios-Buch [57449362], Bergisch Gladbach, Germany.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
HYDROLOGICAL DATA DRIVEN MODELLING:A CASE STUDY APPROACH
ISBN: 9783319092348 bzw. 3319092340, in Deutsch, neu.
Von Händler/Antiquariat, Bookshub [56517106], Karol Bagh, India.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Hydrological Data Driven Modelling: A Case Study Approach
ISBN: 9783319092348 bzw. 3319092340, in Deutsch, Springer International Publishing, Springer International Publishing, Springer International Publishing, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen