A chaotic attractor with cellular neural networks

作者: F. Zou , J.A. Nossek

DOI: 10.1109/31.135755

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摘要: A chaotic attractor has been observed with a nonautonomous cellular neural network (CNN) using an opposite-sign template. The consists of only two cells and is driven by sinusoidal input. It possesses the horseshoe structure. map shows multiple strongly stretching folding processes volume flow. interesting fractal structures. >

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