Information Theory and Artificial Intelligence to Manage Unce... - 9789058096951

CRC Press

Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological ModelsAuthor(s): Abebe Andualem Jemberie\nFormat: Paperback\nPublisher: A A Balkema Publishers, Netherlands\nImprint: A A Balkema Publishers\nISBN-13: 9789058096951, 978-9058096951\nSynopsis\nThe 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. Principles based on information theory are used to detect the presence and nature of residual information in model errors that might help to develop a data-driven model of.