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 :
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