NN-OpInf: an operator inference approach using structure-preserving composable neural networks
NN-OpInf: an operator inference approach using structure-preserving composable neural networks explores NN-OpInf offers a structure-preserving, composable neural network framework for reduced-order modeling of dynamical systems, improving accuracy and robustness over polynomial-based methods.. Commercial viability score: 7/10 in Reduced Order Modeling.
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