Solving nonlinear complementarity problems with neural networks : a reformulation method approach

@inproceedings{Liaoa2001SolvingNC,
  title={Solving nonlinear complementarity problems with neural networks : a reformulation method approach},
  author={Li-Zhi Liaoa and Houduo Qib and Liqun Qib},
  year={2001}
}
  • Li-Zhi Liaoa, Houduo Qib, Liqun Qib
  • Published 2001
In this paper, we present a neural network approach for solving nonlinear complementarity problems. The neural network model is derived from an unconstrained minimization reformulation of the complementarity problem. The existence and the convergence of the trajectory of the neural network are addressed in detail. In addition, we also explore the stability properties, such as the stability in the sense of Lyapunov, the asymptotic stability and the exponential stability, for the neural network… CONTINUE READING

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