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£153.13

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

Name: Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models
Brand: CRC Press
Price: 153.13 GBP
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Description

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

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1138405574
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 03 July 2017
Listed Since: 26 July 2017

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

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