DocumentCode
394416
Title
Flexible weighted neuro-fuzzy systems
Author
Rutkowski, Leszek ; Cpalka, Krzysztof
Author_Institution
Dept. of Comput. Eng., Tech. Univ. Czestochowa, Poland
Volume
4
fYear
2002
fDate
18-22 Nov. 2002
Firstpage
1857
Abstract
In the paper we study new neuro-fuzzy systems. They are called the OR-type fuzzy inference systems (NFIS). Based on the input-output data we learn not only parameters of membership functions but also a type of the systems and aggregating parameters. We propose the weighted T-norm and S-norm to neuro-fuzzy inference systems. Our approach introduces more flexibility to the structure and learning of neuro-fuzzy systems.
Keywords
fuzzy neural nets; inference mechanisms; I/O data; NFIS; OR-type fuzzy inference systems; flexible weighted neuro-fuzzy systems; input-output data; membership function parameters; weighted S-norm; weighted T-norm; Aggregates; Fuzzy logic; Fuzzy systems; Softening; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN
981-04-7524-1
Type
conf
DOI
10.1109/ICONIP.2002.1198995
Filename
1198995
Link To Document