Figure 7From: Radar detection with the Neyman–Pearson criterion using supervised-learning-machines trained with the cross-entropy error ROC curves of the MPLs with different number of hidden neurons, trained to minimize the Sum-of-Squares error for detecting Swerling I targets with unknown Doppler shift in AWGN. Back to article page