Figure 9From: 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 Cross-Entropy error for detecting Gaussian targets with unknown ρ t in Gassian clutter plus AWGN ( C N R = 2 0 d B , ρ c = 0 . 7, S I R = 0 d B ). Back to article page