Modellbildung mittels neuronaler Netzwerke und Fuzzy-Logik

Fuzzy models are more and more applied to various areas of applications. One lately often used method for nonlinear modeling is the Sugeno-Yasukawa modeling approach. In this work this approach is modified by introducing a new input variable identification algorithm