A Chaotic Cellular Neural Network System Research and Implementation Based on FPGA

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Abstract:

Proposed a chaotic cellular neural network system, in-depth study of the system dynamic characteristics through theoretical analysis and simulation, to obtain the system Lyapunov exponent spectrum, also designed the hardware circuit, and get the physical implementation of chaos system through the FPGA, observing all kinds of chaotic attractor. The experimental results are fully consistent with the Matlab simulation results, thus this physical implementation is correct and feasible.

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Periodical:

Advanced Materials Research (Volumes 605-607)

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1734-1737

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Online since:

December 2012

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Lorenz E N. Journal of Atmosphere Science. Vol. 20(1963), pp.130-141.

Google Scholar

[2] H. Bersini and P. Sener. Neural Networks 15(2002).

Google Scholar

[3] Q. Li, X. -S. Yang, and F. Neurocomputing(2005).

Google Scholar

[4] G. Dror and M. Tsodyks. Neurocomputing(2000).

Google Scholar

[5] Zengqiang Chen, Pengfei Chen. International Workshop on Chaos-Fractals Theories and Applications, 2009, pp: 226-230.

Google Scholar