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- W4232199924 abstract "A one-layer recurrent neural network with a discontinuous activation function is proposed for linear programming. The number of neurons in the neural network is equal to that of decision variables in the linear programming problem. It is proven that the neural network with a sufficiently high gain is globally convergent to the optimal solution. Its application to linear assignment is discussed to demonstrate the utility of the neural network. Several simulation examples are given to show the effectiveness and characteristics of the neural network." @default.
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- W4232199924 date "2008-05-01" @default.
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- W4232199924 title "A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming" @default.
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- W4232199924 doi "https://doi.org/10.1162/neco.2008.03-07-488" @default.
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