Reliability-aware failure recovery for cloud computing based automatic train supervision systems in urban rail transit using deep reinforcement learning

Journal of Cloud Computing

Advances, Systems and Applications

Table 4 The structure of NLSTM-agent

Hidden layer type	Layer parameters
Fully connected input layer	(256, 256, 256, 256, 256, 256, 256, 256, 256, 128, 128, 64)
Dropout layers	(0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.6, 0.3)