Ability to forecast unsteady aerodynamic forces of flapping airfoils by artificial neural network

@article{Kurtulus2008AbilityTF,
  title={Ability to forecast unsteady aerodynamic forces of flapping airfoils by artificial neural network},
  author={Dilek Funda Kurtulus},
  journal={Neural Computing and Applications},
  year={2008},
  volume={18},
  pages={359-368}
}
The ability of artificial neural networks (ANN) to model the unsteady aerodynamic force coefficients of flapping motion kinematics has been studied. A neural networks model was developed based on multi-layer perception (MLP) networks and the Levenberg–Marquardt optimization algorithm. The flapping kinematics data were divided into two groups for the training and the prediction test of the ANN model. The training phase led to a very satisfactory calibration of the ANN model. The attempt to… CONTINUE READING

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