Abebe Andualem Jemberie 
Information Theory and Artificial Intelligence to Manage Uncertainty in Hydrodynamic and Hydrological Models [PDF ebook] 

समर्थन

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. The complementary modelling approach is applied to various hydrodynamic and hydrological models.

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भाषा अंग्रेज़ी ● स्वरूप PDF ● पेज 184 ● ISBN 9781482284034 ● प्रकाशक CRC Press ● प्रकाशित 2014 ● डाउनलोड करने योग्य 3 बार ● मुद्रा EUR ● आईडी 6991848 ● कॉपी सुरक्षा Adobe DRM
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