Abstract: System identification and optimal control have always contributed to water resources systems planning and management. Although water control problems are commonly formulated as ...
Abstract: This paper explores a data driven machine learning neural network, the neural operator network, as an alternative to traditional simulation methods for solving the inverse problem of the TMz ...
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