A Fast Neural Network Approach to Predict Lung Tumor Motion during Respiration for Radiation Therapy Applications

Table 3

The statistical comparison of MAE mm for MLP versus QNU over all various setups (on the 3D lung tumor motion prediction for prediction horizon of 1 second).

Learning	Data	Architecture
		MLP	QNU	LNU
GD	Min of MAE		1.54
	Average of MAE		2.33
	Standard deviation of MAE		0.75
LM	Min of MAE	1.03	1.01
	Average of MAE	1.18	1.08
	Standard deviation of MAE	0.08	0.04
MLM	Min of MAE	1.04	0.99	1.13
	Average of MAE	1.18	1.06	1.28
	Standard deviation of MAE	0.08	0.04	0.13