Fig. 3From: Protein secondary structure prediction using a small training set (compact model) combined with a Complex-valued neural network approachQ 3 vs no. of training sequences (N). The accuracy achieved by FCRN as a function of increasing N is shown. Highest Q 3 is observed at 82 % for 50 sequences. Maximum allowed hidden neurons = 100Back to article page