Figure 3From: 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 Gaussian targets with unknown correlation coefficient in AWGN. Back to article page