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Simulation based on learning methods

: Westkämper, E.; Pirron, J.; Schmidt, T.


Journal of Intelligent Manufacturing 9 (1998), Nr.4, S.331-338
ISSN: 0956-5515
Fraunhofer IPA ()
modeling; machine learning; Lernmethode; Evolutionärer Algorithmus; Evolutionary algorithms; artificial neural network; künstliches neuronales Netzwerk; simulation; Fertigungssteuerung; Fertigungsplanung; Fertigungsprozeß; Lernen; Künstliche Intelligenz

The use of simulation technology as a tool for planning and control is of increasing significance in most fields of production. The main part of the expenditure concerning simulation analyses is the modelling of the considered production. Despite the use of modern building-block-oriented modelling technology, this modelling can often not be done by the user, but only by external experts. Against this backdrop, an adaptive simulation system is being developed by the Institute for Industrial Manufacturing and Management (IFF) at the University of Stuttgart. It independently adapts to real production processes, i.e. it learns about the interdependencies of production processes, and, in this way, supports the user in constructing and maintaining the model. In terms of information technology, the research in the field of artificial intelligence, especially in the subdomain of machine learning, ist the basis for the realization of such adaptive systems.