A GRU-Based Method for Predicting Intention of Aerial Targets

Table 2

Experimental parameters.

Parameter	Value
Loss function	Categorical_crossentropy
Optimizer	Adam
Dropout	0.5
Hidden layer	3
Hidden nodes	334, 10, 338
Batch size	100
Learning rate	0.0014
Epoch	200