DocumentCode
296110
Title
Prediction of bifurcation from chaotic circuit with RBF
Author
Shibayama, Hiroyuki ; Saito, Toshimichi
Author_Institution
EEE Dept., Hosei Univ., Tokyo, Japan
Volume
4
fYear
1995
fDate
Nov/Dec 1995
Firstpage
1729
Abstract
This paper proposes a simple radial basis function (RBF) network to predict chaos and bifurcation from our original chaotic circuit. We have evaluated the prediction performance for four kinds of RBF networks and have discovered that heuristic changing of RBF network parameters can mimic the original circuit bifurcation. It suggests that RBF network is efficient not only for time series prediction but also for bifurcation prediction
Keywords
bifurcation; chaos; feedforward neural nets; prediction theory; bifurcation prediction; chaos; chaotic circuit; circuit bifurcation; neural networks; radial basis function network; Bifurcation; Chaos; Character generation; Diodes; Electronic mail; Equations; Radial basis function networks; Switches; Switching circuits; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location
Perth, WA
Print_ISBN
0-7803-2768-3
Type
conf
DOI
10.1109/ICNN.1995.488881
Filename
488881
Link To Document