Stable Patterns Realized by a Class of One-Dimensional Two-Layer CNNs

Stable patterns that can be realized by a class of 1D two-layer cellular neural networks (CNNs) are studied in this paper. We first introduce the notions of potentially stable pattern, potentially stable local pattern, and local pattern set. We then show that all of 256 possible sets can be realized as the local pattern set of the two-layer CNN, while only… CONTINUE READING

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