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• W1981045540 abstract "In this paper, the bi-periodicity issue is discussed for Cohen–Grossberg–type (CG-type) bidirectional associative memory (BAM) neural networks (NNs) with time-varying delays and standard activation functions. It is shown that the model considered in this paper has two periodic orbits located in saturation regions and they are locally exponentially stable. Meanwhile, some conditions are derived to ensure that, in any designated region, the model has a locally exponentially stable or globally exponentially attractive periodic orbit located in it. As a special case of bi-periodicity, some results are also presented for the system with constant external inputs. Finally, four examples are given to illustrate the effectiveness of the obtained results." @default.
• W1981045540 created "2016-06-24" @default.
• W1981045540 creator A5017808266 @default.
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• W1981045540 date "2010-04-23" @default.
• W1981045540 modified "2023-10-07" @default.
• W1981045540 title "Bi-periodicity evoked by periodic external inputs in delayed Cohen–Grossberg-type bidirectional associative memory networks" @default.
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• W1981045540 doi "https://doi.org/10.1088/0031-8949/81/05/055803" @default.
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