DocumentCode
3197543
Title
Neuro-fuzzy logic
Author
Glorennec, Pierre-Yves
Author_Institution
Inst. Nat. des Sci. Appliques, Rennes, France
Volume
2
fYear
1996
fDate
8-11 Sep 1996
Firstpage
899
Abstract
Neural VLSI devices are now available and it would be interesting to use them for logical operations. We show that, in the Lukasiewicz logic, it is possible to use an artificial neuron to implement four basic logical operators (conjunction, disjunction, implication and negation). A new operator, AND-OR, is introduced with the same formalism. Finally, a smoothed form of the logical operators make it possible for their implementation on actual hardware
Keywords
fuzzy logic; fuzzy neural nets; generalisation (artificial intelligence); inference mechanisms; learning (artificial intelligence); neural nets; uncertainty handling; AND-OR operator; Lukasiewicz logic; artificial neuron; conjunction; disjunction; fuzzy inference; generalisation; neuro-fuzzy logic; Boolean functions; Fuzzy logic; Hardware; Logic devices; Neurons; Open wireless architecture; Smoothing methods; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-3645-3
Type
conf
DOI
10.1109/FUZZY.1996.552298
Filename
552298
Link To Document