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

ISBN: 9781138405578 出版年：2014 页码：198 Jemberie, Abebe Andualem CRC Press

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