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- W2101996968 abstract "This brief discusses a class of discrete-time recurrent neural networks with complex-valued linear threshold neurons. It addresses the boundedness, global attractivity, and complete stability of such networks. Some conditions for those properties are also derived. Examples and simulation results are used to illustrate the theory." @default.
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- W2101996968 date "2009-08-01" @default.
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- W2101996968 title "Discrete-Time Recurrent Neural Networks With Complex-Valued Linear Threshold Neurons" @default.
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- W2101996968 doi "https://doi.org/10.1109/tcsii.2009.2025625" @default.
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