Remaining Useful Life Estimation Using Deep Convolutional Generative Adversarial Networks Based on an Autoencoder Scheme

Table 4

Default parameters of the supervised architecture.

Architecture	Hidden size	Dropout	Activation function
First LSTM layer	64	0.5	tanh
Second LSTM layer	64	0.5	tanh
First FNN layer	32	0.5	ReLU
Second FNN layer	1	1.0	Abs