Research Article

Feature Extraction Method Based on Sparse Autoencoder for Air Traffic Management System Security Situation Awareness

Table 1

Parameter settings.

ParameterValue

Feature association threshold0.9
a0.05
λ0.0005
μ1
Dimensional change of encoding layer 18 ⟶ 7
Dimensional change of encoding layer 27 ⟶ 4
Dimensional change of decoding layer 14 ⟶ 7
Dimensional change of decoding layer 27 ⟶ 8
Penalty coefficient of SVM objective function0.5