DocumentCode
3169292
Title
Chaos in a Hebbian-type learning algorithm
Author
Li, Chunguong ; Yu, Juebang ; Liao, Xiaofeng
Author_Institution
Inst. of Electron. Syst., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Volume
2
fYear
2002
fDate
29 June-1 July 2002
Firstpage
1204
Abstract
In this paper, it is shown that a Hebbian-type unsupervised learning algorithm can exhibit chaotic behavior and strange attractors. The Lyapunov exponent and power spectra are presented to confirm the existence of chaotic motion. A chaos-periodic-chaos transition was also observed in this system.
Keywords
Hebbian learning; Lyapunov methods; adaptive systems; bifurcation; chaos; stability; unsupervised learning; Hebbian neural learning schemes; Hebbian-type unsupervised learning algorithms; Lyapunov exponents; adaptive systems; bifurcations; chaos-periodic-chaos transitions; chaotic behavior; chaotic motion power spectra; constrained anti-Hebbian learning; dynamic system deterministic nonperiodic behavior; strange attractors; Adaptive control; Adaptive filters; Adaptive systems; Chaos; Educational institutions; Least squares approximation; Neurons; Nonlinear dynamical systems; Power engineering and energy; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on
Print_ISBN
0-7803-7547-5
Type
conf
DOI
10.1109/ICCCAS.2002.1178999
Filename
1178999
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