Neural networks for routing of communication networks with unreliable components

A new neural network model, Routron, which can handle dependent component failures of communication networks, is proposed. We prove that the proposed Routron has a stable solution. Moreover, useful upper and lower bounds for the design parameters are derived to help select them in implementations. Simulation results are included to illustrate the effectiveness of the algorithm.<
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