Multi-kernel neural networks for nonlinear unsteady aerodynamic reduced-order modeling
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DOI: 10.1016/j.ast.2017.04.017
Abstract: Abstract This paper proposes the multi-kernel neural networks and applies them to model the nonlinear unsteady aerodynamics at constant or varying flow conditions. Different from standard radial basis function (RBF) networks with a single Gaussian… read more here.
Keywords: nonlinear unsteady; reduced order; neural networks; kernel neural ... See more keywords