Identification of Aerodynamic Derivatives of Ideal Thin Plates
with Artificial Neural Network

LI Lin; LI Qiao

Volume 16 Issue 2

Apr. 2003

Turn off MathJax

Article Contents

Journal of Southwest Jiaotong University > 2003 > 16(2): 159-163.

LI Lin, LI Qiao. Identification of Aerodynamic Derivatives of Ideal Thin Plateswith Artificial Neural Network[J]. Journal of Southwest Jiaotong University, 2003, 16(2): 159-163.

Citation:

LI Lin, LI Qiao. Identification of Aerodynamic Derivatives of Ideal Thin Plates with Artificial Neural Network[J]. Journal of Southwest Jiaotong University, 2003, 16(2): 159-163.

LI Lin, LI Qiao. Identification of Aerodynamic Derivatives of Ideal Thin Plateswith Artificial Neural Network[J]. Journal of Southwest Jiaotong University, 2003, 16(2): 159-163.

Citation:

LI Lin, LI Qiao. Identification of Aerodynamic Derivatives of Ideal Thin Plates with Artificial Neural Network[J]. Journal of Southwest Jiaotong University, 2003, 16(2): 159-163.

PDF( 0 KB)

Identification of Aerodynamic Derivatives of Ideal Thin Plates with Artificial Neural Network

LI Lin,
LI Qiao

Publish Date: 25 Apr 2003

Abstract

Abstract

A BP artificial neural network (ANN) method is introduced to identify aerodynamic derivatives of ideal thin plates. An artificial neural network is constructed followed by the comparison between the prediction results influenced by some factors. The mothods of data processing have strong effects on training results, and the effects of other factors are relatively weak. The training results show that this approach is feasible with satisfactory accuracy.
- bridges,
- aerodynamic derivatives,
- flutter,
- artificial neural network,
- ideal thin plates