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Object Orientation in Hydraulic Modeling Architectures
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 ...
Machine Learning Approach to Modeling Sediment Transport
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 ...
Multiobjective Direct Policy Search Using Physically Based Operating Rules in Multireservoir Systems
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 ...
Neural Networks and Reinforcement Learning in Control of Water Systems
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 ...