Renji Remesan Jimson Mathew Remesan Hydrological Data Driven Modelling

Hydrological Data Driven Modelling

von Renji Remesan Jimson Mathew

A Case Study Approach

Preis unbekannt

Buch in deiner Nähe kaufen


...oder deine aktuelle Postleitzahl eingeben:
oder

Beschreibung

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.


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.


Covers many aspects of data based modelling issues with application to Hydrology Brings readers up to date with clear case studies Enables engineers to appropriately identify modelling approaches and issues Includes supplementary material: sn.pub/extras

Autor*in

Renji Remesan

Themen in »Hydrological Data Driven Modelling«

Applied hydrology Artificial intelligence in hydrology Evapotranspiration modelling Hydrologic modelling Rainfall-Runoff modelling Solar radiation Support vector Time series modelling hydrogeology

Stimmen zu »Hydrological Data Driven Modelling«

Details

ISBN: 9783319092348
Verlag: Springer International Publishing
Erscheinung: 17.11.2014

Link teilen


Über buchnah.de | Die Buchhandlungen | Die Verlage | Impressum & Kontakt | Datenschutz | Presse


Auf dieser Seite kannst Du Buchhandlungen in der Nähe finden