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

    By Abebe Andualem Jemberie

    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...

    Published May 15th 2004 by CRC Press

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