Table 6 LSTM model architecture and... | Emerald Publishing

Table 6

LSTM model architecture and training parameters

Layer/Parameter	Value
LSTM Layer	50 Units
Activation Function	ReLU
Dense Output Layer	1 Unit
Optimizer	Adam
Learning Rate	0.001
Loss Function	Mean Squared Error
Maximum Epochs	100
Batch Size	16
Early Stopping	Patience = 10
Restore Best Weights	True

Layer/Parameter	Value
LSTM Layer	50 Units
Activation Function	ReLU
Dense Output Layer	1 Unit
Optimizer	Adam
Learning Rate	0.001
Loss Function	Mean Squared Error
Maximum Epochs	100
Batch Size	16
Early Stopping	Patience = 10
Restore Best Weights	True