DocumentCode
1614856
Title
Over multiple rule-blocks to modular nets
Author
Spaanenburg, L. ; Jansen, W.J. ; Nijhuis, J.A.G.
Author_Institution
Dept. of Comput. Sci., Groningen Univ., Netherlands
fYear
1997
Firstpage
698
Lastpage
705
Abstract
Real production data are vague and irreproducible. This suggests fuzzy knowledge acquisition for an online learned combined fuzzy/neural network. The paper advocates a modular neural only network based on the injection of knowledge from a multiple rule block fuzzy specification. A typical controller takes 10-25 blocks with 10 rules on average, which after injection in a neural net can be personalized and adapted by small (typical 100) measurement sets.
Keywords
fuzzy neural nets; fuzzy set theory; knowledge acquisition; learning (artificial intelligence); neurocontrollers; production control; uncertainty handling; fuzzy knowledge acquisition; measurement sets; modular nets; modular neural only network; multiple rule block fuzzy specification; multiple rule blocks; online learned combined fuzzy/neural network; real production data; Biological system modeling; Chemicals; Fuzzy logic; Fuzzy neural networks; Humans; Knowledge acquisition; Mathematical model; Neural networks; Process control; Production;
fLanguage
English
Publisher
ieee
Conference_Titel
EUROMICRO 97. New Frontiers of Information Technology., Proceedings of the 23rd EUROMICRO Conference
Conference_Location
Budapest, Hungary
ISSN
1089-6503
Print_ISBN
0-8186-8129-2
Type
conf
DOI
10.1109/EURMIC.1997.617405
Filename
617405
Link To Document