Optimizing routing algorithms in telecommunication networks with neural networks and fuzzy logic

In the future the span of time between two switching actions in transport networks will become shorter and shorter. If the choice of routes is not done in the right way, the quality of the transport network will deteriorate quickly. The combination of Fuzzy Rulebases and Neural Networks offers an excellent possibility to take into account all the essential aspects for the evaluation of the possible routes. We will present three different architectures for shortest routing strategies in transport networks which try to preserve the once established network quality.