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For a given model order, the approximation accuracy greatly depends on the initial value selected.
However, for a large model order, the construction based on these data is sensitive to perturbations.
To reduce the model order, the polynomial chaos expansion method is combined with the Arnoldi-based Krylov subspace technique.
The relations between the model order – the deepness of modelling and the model accuracy has been also studied by a simulation in the paper.
For this purpose, several topics related to the time series are discussed, such as the definition of the model order, the matter of stationarity and the need to address possible outliers.
To estimate the model order, the noise eigenvalue profile gets predicted based on the exponential profile assumption starting from the smallest noise eigenvalue.
Similar(42)
Model ordered the 300,000 troops under his command to disband, and he then committed suicide.
The more it fell, the more the model ordered the computers to sell.
The development of equivalent wind farm models can reduce the model order and the computation time under the impact of wind farms on power systems.
In this procedure, we employed the Akaike Information Criterion AICC) to validate the model order or the number of model parameters of the network [ 59].
where is the model order, is the sample size, and is the prediction error of the model.
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Justyna Jupowicz-Kozak
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