2016
DOI: 10.5028/jatm.v8i3.647
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Numerical Study of Reduced Frequency Effect on Longitudinal Stability Derivatives of Airfoil under Pitching and Plunging Oscillations

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Cited by 2 publications
(2 citation statements)
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“…Unsteady aerodynamics is related to a series of time sequence data with time delay effects. 15 The long short-term memory network, which is a variant of the traditional recurrent neural network (RNN) by replacing traditional nodes in the hidden layer with computation units called memory cells, performs very well in sequence prediction and has become one of the most popular deep learning architectures. 32 LSTM networks are able to overcome traditional difficulties that result from too large or too small gradient values.…”
Section: Computation Schemementioning
confidence: 99%
See 1 more Smart Citation
“…Unsteady aerodynamics is related to a series of time sequence data with time delay effects. 15 The long short-term memory network, which is a variant of the traditional recurrent neural network (RNN) by replacing traditional nodes in the hidden layer with computation units called memory cells, performs very well in sequence prediction and has become one of the most popular deep learning architectures. 32 LSTM networks are able to overcome traditional difficulties that result from too large or too small gradient values.…”
Section: Computation Schemementioning
confidence: 99%
“…The results show that reduced frequency is related positively with stability in plunging oscillation. 15 Thus, the move of control surfaces may bring non-negligible unsteady effect. In this study, control surfaces of the HLD move with time, and moving parameters are studied.…”
Section: Introductionmentioning
confidence: 99%