Name:
Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models PDF
Published Date:
07/03/2017
Status:
[ Active ]
Publisher:
CRC Press Books
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.
Author: Abebe Andualem Jemberie
| Edition : | 1 |
| Number of Pages : | 198 |
| Published : | 07/03/2017 |
| isbn : | 9781482284034 |
