Chaos control of a class of learning algorithms for ICA neural networks

Lin Zuo Lin Zuo,Jiancheng Lv Jiancheng Lv,Zhang Yi Zhang Yi

doi:10.1109/icacte.2010.5579641

Chaos control of a class of learning algorithms for ICA neural networks

Lin Zuo Lin Zuo, Jiancheng Lv Jiancheng Lv + Show 1 more

https://doi.org/10.1109/icacte.2010.5579641

Copy DOI

Publication Date: Aug 1, 2010

Citations: 4

Affiliation: University of Electronic Science and Technology of China, Chengdu University, Sichuan University

#Independent Component Analysis #Independent Component Analysis Neural Networks + Show 8 more

Abstract
Full-Text
Similar Papers

Abstract

Independent component analysis(ICA) neural network is an important method for separating the mixed signal into independent components. However, the ICA neural networks can produce complicated dynamical behavior under certain conditions, such as the periodic oscillation, bifurcation and chaos. This paper introduces the chaos control of a class of ICA learning algorithm, Hyvarinen and Oja's ICA namely, and the stability transformation method(STM) of chaos feedback control is utilized to the convergence control of the ICA. Time series diagrams, Lyapunov exponent of dynamical system demonstrate that the desired fixed points of iterative map of the ICA can be captured, and the chaotic behavior of the algorithm can be controlled.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Similar Papers

Paper Title

Journal

Date

Author

View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.