The most widely used artificial neural network algorithm is surely the backpropagation method proposed by [Rumelhart 1986]. A standard implementation is written, together with a large number of special options. This implementation allows the user to experiment with different activation functions, network sizes, collect statistics on learning performance, test different stopping criteria, different initialization conditions, etc. For most applications this support tool will be sufficient and because all source code is available it is easy to make changes.