A neural network method with perturbation for solving mixed variational inequalities
A new type of neural network with a disturbance term is constructed for solving mixed vari-ational inequality problems.The existing forward-backward-forward neural dynamic network with fixed time convergence is extended to a new neural network model incorporating a disturbance term.We prove that the equilibrium point of the new neural network is fixed time stable,and the upper bound of the stable time is also given.Finally,numerical experiments indicate the effectiveness of the proposed method.
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