Franke, H.H.FrankeMüller, D.D.MüllerEichhorn, K.K.EichhornSchlegel, P.P.Schlegel2022-03-092022-03-091995https://publica.fraunhofer.de/handle/publica/324680The Fuzzy-Pattern-Classification is a useful approach for modelling of complex nonlinear systems. A multi-dimensional classificator is trained in a learning phase. New unknown objects may be classified using the trained modell in the working phase. A algorithm for fuzzy-logical combinations may be added to be classification. This improves the classification results of many applications. Modules for evaluation, statistics and fuzzy-control applications are provided. A modular hardware-based accelerator was developed for time-critical on-line applications. The article describes the use of the accelerator for surface checking of metal remodelling processes.declassificationEchtzeitexpert systemExpertensystemfuzzyKlassifikationrealtime620670conference paper