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• W3043009478 abstract "This paper pays close attention to the global polynomial dissipativity (GPD) for proportional delayed BAM neural networks (PDBAMNNs). The global exponential dissipativity (GED) and the global dissipativity (GD) are also talked about. Under the help of novel Lyapunov functionals and a generalized Halanay inequality, a set of dissipative criteria for such systems are led out, together with the global polynomial attracting set (GPAS) and the global attracting set (GAS). Further, the relationship among GPD, GED and GD is unveiled. Finally, a proposed theoretical condition is validated through a simulation experiment." @default.
• W3043009478 created "2020-07-23" @default.
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• W3043009478 date "2020-07-15" @default.
• W3043009478 modified "2023-09-24" @default.
• W3043009478 title "Polynomial dissipativity of proportional delayed BAM neural networks" @default.
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• W3043009478 doi "https://doi.org/10.1142/s1793524520500503" @default.
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