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A new model reduction strategy is proposed for nonlinear distributed parameter systems which the first principle modeling described by partial differential equation have dominant linear terms. Spectral method, combining balanced truncation model reduction and neural networks (NN) are used to construct the low-dimensional approximation of nonlinear distributed parameter systems. The strategy amounts...
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