A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
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Updated
Jun 12, 2023 - Python
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives
Non-intrusive reduced-order modeling with geometry-informed snapshots. Current based registration is applied to compute the diffeomorphism between snapshots.
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
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Page object model with selenium+java+testng
cNN-DP: Composite neural network with differential propagation for impulsive nonlinear dynamics.
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