One major difference between JETNET 3.0 and older versions is the existence of several alternative learning algorithms. Though, after extensive explorations of these new learning algorithms, we find that BP learning, sometimes with noise added, is not only sufficient but often superior for most tasks. It is a very stable learning algorithm that reaches as low or lower errors than any alternative algorithm. In what follows we summarize our experiences with the different learning algorithms implemented in JETNET 3.0. Ref.  contains a review of other ANN packages that implement other learning algorithms.