Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models (e-bog) af Jemberie, Abebe Andualem

Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models e-bog

802,25 DKK (inkl. moms 1002,81 DKK)
The complementary nature of physically-based and data-driven models in their demand for physical insight and historical data, leads to the notion that the predictions of a physically-based model can be improved and the associated uncertainty can be systematically reduced through the conjunctive use of a data-driven model of the residuals. The objective of this thesis is to minimise the inevita...
E-bog 802,25 DKK
Forfattere Jemberie, Abebe Andualem (forfatter)
Forlag CRC Press
Udgivet 21 april 2014
Længde 184 sider
Genrer TNF
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781482284034
The complementary nature of physically-based and data-driven models in their demand for physical insight and historical data, leads to the notion that the predictions of a physically-based model can be improved and the associated uncertainty can be systematically reduced through the conjunctive use of a data-driven model of the residuals. The objective of this thesis is to minimise the inevitable mismatch between physically-based models and the actual processes as described by the mismatch between predictions and observations. The complementary modelling approach is applied to various hydrodynamic and hydrological models.