NONLINEAR MODELING AND IDENTIFICATION OF AN ALUMINUM HONEYCOMB PANEL WITH MULTIPLE BOLTS



Using neural networks to improve simulations in the gray zone

Machine learning represents a potential method to cope with the gray zone problem of representing motions in dynamical systems on scales comparable to the model resolution.Here we Dining Room Tables explore the possibility of using a neural network to directly learn the error caused by unresolved scales.We use a modified shallow water model which i

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