Approaches to coupling connectionist and expert systems in intelligent manufacturing

Dieter Barschdorff, Lälö Monostori, Gerd W. Wöstenkühler, Csaba Egresits, Kád́r Kádár

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8 Citations (Scopus)

Abstract

Artificial neural networks are successfully applied in different fields of manufacturing, mostly where multisensor integration, robustness, real-timeness, and learning abilities are needed. Since the higher levels of the control and the monitoring hierarchy require symbolic knowledge representation and processing techniques, the integrated use of the symbolic and subsymbolic approaches is straightforward. The paper describes two hybrid artificial intelligence systems for control and monitoring of manufacturing processes on different hardware and software bases. The first experiences gained by their usage are outlined. Finally, further possible applications of these hybrid solutions in an intelligent manufacturing environment are enumerated.

Original languageEnglish
Pages (from-to)5-15
Number of pages11
JournalComputers in Industry
Volume33
Issue number1
Publication statusPublished - Aug 1997

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Keywords

  • Artificial intelligence
  • Artificial neural networks
  • Control and monitoring of manufacturing processes
  • Expert systems
  • Hybrid AI systems

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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