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https://doi.org/10.1016/j.physleta.2004.08.061
Copy DOIJournal: Physics Letters A | Publication Date: Sep 15, 2004 |
Citations: 7 |
We give a novel chaotic element model whose activation function composed of Gauss and Sigmoid function. It is shown that the model may exhibit a complex dynamic behavior. The most significant bifurcation processes, leading to chaos, are investigated through the computation of the Lyapunov exponents. Based on this model, we propose a novel network of chaotic elements, which can be applied in associative memory, and then investigate its dynamic behavior. It is worth noting that multi-valued associative memory can also be realized by this network.
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