Regularized least absolute deviation-based sparse identification of dynamical systems.
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DOI: 10.1063/5.0130526
Abstract: This work develops a regularized least absolute deviation-based sparse identification of dynamics (RLAD-SID) method to address outlier problems in the classical metric-based loss function and the sparsity constraint framework. Our method uses absolute derivation loss… read more here.
Keywords: least absolute; identification; absolute deviation; based sparse ... See more keywords