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Cited by 8 publications
(5 citation statements)
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“…The surrogate model is identified from transient forced motion training data. The training set used in this paper consists of three analyses with superimposed excitations of scaled structural mode shapes u s of the first ten eigenmodes, which is shown in Equation (15).…”
Section: Training Datamentioning
confidence: 99%
See 1 more Smart Citation
“…The surrogate model is identified from transient forced motion training data. The training set used in this paper consists of three analyses with superimposed excitations of scaled structural mode shapes u s of the first ten eigenmodes, which is shown in Equation (15).…”
Section: Training Datamentioning
confidence: 99%
“…Chen et al (14) utilise support vector machines for the prediction of limit cycle oscillations (LCO). Fagley et al (15) use POD in combination with wavelet neural networks (wavenet) to predict the non-linear dynamic behaviour of a free shear layer. Zhang et al (16) show that radial basis function artificial neural networks (RBF-ANN) are able to predict LCO behaviour of the NACA64A010 aerofoil in the time domain.…”
Section: Introductionmentioning
confidence: 99%
“…The system identification step as presented in Fagley et al [2010] is a crucial step in formulating the low dimensional model. Numeric decomposition parameters such as: forcing parameters, spatial domain, and numerical decomposition method (DPOD, SPOD, POD..etc.)…”
Section: System Identificationmentioning
confidence: 99%
“…Hence, several nonlinear ROMs have been developed and applied successfully as nonlinear surrogates, for example: Artificial Neural Network Auto-Regressive Exogenous (ANN-ARX) [13,14], Kriging-ARX [15],Continuous Time Recurrent Neural Network [16].…”
mentioning
confidence: 99%
“…Fagley et al used POD and ANN-ARX to investigate the free shear layer transient effects [13]. Following the same idea, Lindhorst et al employed…”
mentioning
confidence: 99%