Approaches to coupling connectionist and expert systems in intelligent manufacturing

Barschdorff, D and Monostori, László and Wostenkuhler, G W and Egresits, Csaba and Kádár, Botond Géza (1997) Approaches to coupling connectionist and expert systems in intelligent manufacturing. COMPUTERS IN INDUSTRY, 33. pp. 5-15. ISSN 0166-3615

[img] Text
Barschdorff_5_1021381z.pdf

Download (1MB)

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. (C) 1997 Elsevier Science B.V.

Item Type: Article
Subjects: Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány
Divisions: Research Laboratory on Engineering & Management Intelligence
SWORD Depositor: MTMT Injector
Depositing User: MTMT Injector
Date Deposited: 19 Jan 2022 15:01
Last Modified: 19 Jan 2022 15:01
URI: https://eprints.sztaki.hu/id/eprint/10304

Update Item Update Item