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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 hidden kernel, the multi-kernel neural networks improve the accuracy and generalization capability through linearly combining the Gaussian and wavelet basis functions...
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