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Sinusoidal modulation control method in a chaotic neural network
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DOI：10.1016/j.cnsns.2013.12.024.png)
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Chaotic neural networks (CNNs) have chaotic dynamic associative memory properties: The memory states appear non-periodically, and cannot be converged to a stored pattern. Thus, it is necessary to control chaos in a CNN in order to recognize associative memory. In this paper, a novel control method, the sinusoidal modulation control method, has been proposed to control chaos in a CNN. In this method, a sinusoidal wave simplified from brain waves is used as a control signal to modulate a parameter of the CNN. The simulation results demonstrate the effectiveness of this control method. The controlled CNN can be applied to information processing. Moreover, the method provides a way to associate brain waves by controlling CNNs. (C) 2014 Elsevier B. V. All rights reserved.
Keyword:
Controlling chaos
Chaotic neural network
Brain wave
Information processing
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3.8
论文数:
9.4K
被引数:
1.8W
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