The results confirm empirically that the (r) = 0 condition (1) gives the most consistent results, and (2) generally yields accuracies among the highest, regardless of how long training is allowed to continue.
the presence of any negative application during the training phase will cause the error corrector to behave unpredictably, and the more complex model of greater error tolerance is unnecessary in practice.