Journal of Jishou University(Natural Sciences Edition)

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Novel Neural Network for Dynamic Matrix Moore-Penrose Inverse

XIANG Qiuhong,LIAO Bolin,MA Chuan   

  1. (1.College of Mathematics and Statistics,Jishou University,Jishou 416000,Hunan China;2.College ofInformation Science and Engineering,Jishou University,Jishou 416000,Hunan China)
  • Online:2017-05-25 Published:2017-06-19


A novel neural network model (termed NNN model) is proposed,which is composed of a conventional gradient neural network (GNN) and the recently proposed Zhang neural network (ZNN).In the same conditions,NNN,GNN and ZNN are applied for solving the dynamic matrix Moore-Penrose (M-P) inverse.The theoretical analyses demonstrate the efficacy and superiority of the proposed NNN model,and the computer-simulation results show that the NNN model has good robustness against noise.

Key words: gradient neural network, Zhang neural network, Moore-Penrose (M-P) inverse

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