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
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;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.614439
