Table 1.

Experimental environment and experimental parameter settings of model validation.

Parameter	Specification/Size
Operating system	Windows 10
Central processing unit	i5-8400
Graphic processing unit	NVIDIA GTX 1060Ti
Memory	16 GB
DL framework	TensorFlow
Programming language	python3.6
Number of hidden layer nodes for G and D	(50,100,150,200,300)
Learning rate	(0.01,0.005,0.001,0.0005,0.0001)
Optimization method	Adam
Number of hidden layers for G and D	(1,2,3,4,5)
G and D training step ratio $v_{GD}=\frac{G_{step}}{D_{step}}$	(1,2,3,4,5,6,7)
Minibatch	(32,64,128,256)
Activation function	sigmoid