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Simulation Based on Learning Methods

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

Monostori, L.; Warnecke, H.-J. ; International Institution for Production Engineering Research -CIRP-, Paris; Hungarian Academy of Sciences, Computer and Automation Research Institute; Univ. Budapest:
The Second World Congress on Intelligent Manufacturing Processes & Systems 1997. Proceedings
Budapest, 1997
pp.101-109
World Congress on Intelligent Manufacturing Processes & Systems <2, 1997, Budapest>
English
Conference Paper
Fraunhofer IPA ()
Fertigungsplanung; Fertigungsprozeß; Fertigungssteuerung; information; Künstliche Intelligenz; Lernen; lernendes System; simulation

Abstract
The use of simulation technology as a tool for the 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, is the basis for the realisation of such adaptive systems.

: http://publica.fraunhofer.de/documents/PX-33612.html