To this point, we have considered NN training datasets containing 1 000 evenly spaced (with respect to 𝑏) initial conditions and their LS method descendants. In or- der to investigate the effect of the training dataset on the performance of the resulting NN, additional NNs are trained on datasets with 100 evenly spaced initial conditions (NN 100 ), 10 000 evenly spaced initial conditions (NN 10k ), and 1 000 random (uniformly distributed) initial conditions (NN rand ) and their LS method descendants. In all cases, the computational effort is made equivalent to NN 1k by using 10 7 /𝑇 training epochs, as described previously in Sec. III B.