Incremental Identification of Narx Models by Sparse Grid Approximation

@inproceedings{Kahrs2005IncrementalIO,
  title={Incremental Identification of Narx Models by Sparse Grid Approximation},
  author={Olaf Kahrs and Marc Brendel and Wolfgang Marquardt},
  year={2005}
}
Nonlinear empirical models are used in various applications. During model-building, five major steps usually have to be carried out: model structure selection, determination of input variables, complexity adjustment of the model, parameter estimation and model validation. These steps have to be repeated until a satisfactory model is found, which can be very time consuming and may require user interaction. This paper proposes an algorithm based on sparse grid function approximation to… CONTINUE READING

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