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• W2140007788 abstract "In this paper, we consider delayed bidirectional associative memory (BAM) neural networks (NNs) with Lipschitz continuous activation functions. By applying Young's inequality and Holder's inequality techniques together with the properties of monotonic continuous functions, global exponential stability criteria are established for BAM NNs with time delays. This is done through the use of a new Lyapunov functional and an M-matrix. The results obtained in this paper extend and improve previous results." @default.
• W2140007788 created "2016-06-24" @default.
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• W2140007788 date "2008-03-01" @default.
• W2140007788 modified "2023-10-14" @default.
• W2140007788 title "Global Exponential Stability of Bidirectional Associative Memory Neural Networks With Time Delays" @default.
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• W2140007788 doi "https://doi.org/10.1109/tnn.2007.908633" @default.
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