DocumentCode
3225817
Title
Fuzzy rules extraction, reasoning and rules adaptation in fuzzy neural networks
Author
Kasabov, Nikola K.
Author_Institution
Dept. of Inf. Sci., Otago Univ., Dunedin, New Zealand
Volume
4
fYear
1997
fDate
9-12 Jun 1997
Firstpage
2380
Abstract
This paper introduces a method for fuzzy rules extraction from a fuzzy neural network called FuNN. The process of reasoning in FuNN has been formalised and presented as a synergistic reasoning method. A bench-mark test data set of a chaotic time-series is used to illustrate the methods
Keywords
chaos; fuzzy logic; fuzzy neural nets; inference mechanisms; time series; FuNN; chaotic time-series; fuzzy neural networks; fuzzy rules extraction; rules adaptation; synergistic reasoning method; Chaos; Data mining; Fuzzy neural networks; Fuzzy reasoning; Fuzzy systems; Information science; Input variables; Intelligent networks; Knowledge based systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.614439
Filename
614439
Link To Document