Journal of Jishou University(Natural Sciences Edition)

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Finite-Time Recursive Neural Network for Quadratic Minimization Problems

ZHANG Yongsheng,XIAO Lin   

  1. (School of Information Science and Engineering,Jishou University,Jishou 416000,Hunan China)
  • Online:2019-03-25 Published:2019-04-30


A recursive neural network model is utilized for solving the quadratic minimization problem,and a sign-bi-power activation function is added to the network model,which speeds up the convergence  of the recursive neural network even to reach the finite-time convergence.Moreover,by adjusting the value of the designing parameter λ,the convergence performance of the recursive neural network can be further improved.Finally,the MATLAB is used to simulate and verify the recursive neural network model,and the numerical simulation results verify the effectiveness and superiority of the proposed finite-time recursive neural network model for solving the quadratic minimization problem.

Key words: quadratic minimization problem, finite-time convergence, recurrent neural network

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