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    Object Orientation in Hydraulic Modeling Architectures 

    Source: Journal of Computing in Civil Engineering:;1996:;Volume ( 010 ):;issue: 002
    Author(s): D. P. Solomatine
    Publisher: American Society of Civil Engineers
    Abstract: A “separable” approach to the object-oriented design of modeling systems is presented. In it, the local behavior of an individual object is separated from the global behavior of the system, and the functional decomposition ...
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    Machine Learning Approach to Modeling Sediment Transport 

    Source: Journal of Hydraulic Engineering:;2007:;Volume ( 133 ):;issue: 004
    Author(s): B. Bhattacharya; R. K. Price; D. P. Solomatine
    Publisher: American Society of Civil Engineers
    Abstract: Inaccuracies of sediment transport models largely originate from our limitation to describe the process in precise mathematical terms. Machine learning (ML) is an alternative approach to reduce the inaccuracies of sedimentation ...
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    Multiobjective Direct Policy Search Using Physically Based Operating Rules in Multireservoir Systems 

    Source: Journal of Water Resources Planning and Management:;2020:;Volume ( 146 ):;issue: 004
    Author(s): J. Ritter; G. Corzo; D. P. Solomatine; H. Angarita
    Publisher: ASCE
    Abstract: This study explores the ways to introduce physical interpretability into the process of optimizing operating rules for multireservoir systems with multiple objectives. Prior studies applied the concept of direct policy ...
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    Neural Networks and Reinforcement Learning in Control of Water Systems 

    Source: Journal of Water Resources Planning and Management:;2003:;Volume ( 129 ):;issue: 006
    Author(s): B. Bhattacharya; A. H. Lobbrecht; D. P. Solomatine
    Publisher: American Society of Civil Engineers
    Abstract: In dynamic real-time control (RTC) of regional water systems, a multicriteria optimization problem has to be solved to determine the optimal control strategy. Nonlinear and/or dynamic programming based on simulation models ...
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