Table 2.

Neural network parameters.

SDAE architecture parameters
Number of layers	4
Hidden layer node numbers	[600, 300, 150, 50]
$L_2$ weight parameter ($\lambda$)	$1\times {10}^{-5}$
ADADelta parameters
${ϵ}_{\mathrm{adel}}$	$1\times {10}^{-6}$
${\rho }_{\mathrm{adel}}$	0.95
Convergence criteria
Unsupervised learning number of iterations/layer	30
Error threshold during supervised fine tuning	0.01