Name: Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models (en Inglés)
Price: 349540.00 CLP
Availability: InStock
Author: Jemberie, Abebe Andualem
ISBN: 9781138405578

portada Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models (en Inglés)

Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models (en Inglés)

Formato

Libro Físico

Autor

Abebe Andualem Jemberie

Editorial

CRC Press

Idioma

Inglés

N° páginas

200

Encuadernación

Tapa Dura

Peso

0.37 kg.

ISBN13

9781138405578

N° edición

Categorías

Hidrología e hidrosfera
Ciencia, ingeniería y tecnología medioambientales
Análisis y diseño de sistemas

Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models (en Inglés)

Abebe Andualem Jemberie (Autor) · CRC Press · Tapa Dura

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Reseña del libro "Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models (en Inglés)"

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. 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 the residuals by treating the gap between the process and its (physically-based) model as a separate process. The complementary modelling approach is applied to various hydrodynamic and hydrological models to forecast the expected errors and accuracy, using neural