1673-159X

CN 51-1686/N

二次规划问题的时滞投影神经网络模型的全局指数稳定

Global Exponential Stability of Neural Network Models with Delayed Projection Neural Network for Quadratic Programming Problems

  • 摘要: 研究了二次规划问题,提出了求解它的一种时滞投影神经网络模型。利用反函数分方程理论和放缩的方法,证明了新模型解的存在唯一性,并给出了时滞投影神经网络全局指数稳定的充分条件。该模型可以用来解决一系列约束最优化问题中的二次规划问题。

     

    Abstract: In this paper, the authors study quadratic programming problems, and present a novel delayed projection neural network model for solving them.By the theory of functional diferential equation, the existence and uniqueness of the solution of the new model are proved, some sufficient conditions ensuring the global exponential stability of the proposed delayed projection neural network are given. So it can be used to solve a series of constraint optimization problems for the quadratic programming issues.

     

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