Real-time nature, uncertainty handling and learning ability are essential features of knowledge representation and processing techniques to be applied at lower levels of intelligent manufacturing systems. The paper demonstrates, that artificial neural networks and fuzzy systems are possibly approaches to comply with these requirements. Their applicability for modelling and monitoring of manufacturing processes is illustrated and compared. At the end of the paper the combined use of the neural and fuzzy techniques is suggested to produce adaptive fuzzy systems, and the integration of such hybrid system in an intelligent manufacturing environment is investigated.
|Title of host publication||IFIP Transactions B|
|Subtitle of host publication||Computer Applications in Technology|
|Publisher||Publ by Elsevier Science Publishers B.V.|
|Number of pages||12|
|Publication status||Published - Dec 1 1993|
ASJC Scopus subject areas