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• W2144661421 abstract "It is shown that first-order autonomous space-invariant cellular neural networks (CNNs) may exhibit a complex dynamic behavior (i.e., equilibrium point and limit cycle bifurcation, strange and chaotic attractors). The most significant limit cycle bifurcation processes, leading to chaos, are investigated through the computation of the corresponding Floquet's multipliers and Lyapunov exponents. It is worth noting that most practical CNN implementations exploit first-order cells and space-invariant templates: so far no example of complex dynamics has been shown in first-order autonomous space-invariant CNNs." @default.
• W2144661421 created "2016-06-24" @default.
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• W2144661421 date "2002-03-01" @default.
• W2144661421 modified "2023-09-23" @default.
• W2144661421 title "Complex dynamic phenomena in space-invariant cellular neural networks" @default.
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• W2144661421 doi "https://doi.org/10.1109/81.989168" @default.
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