New Varying-Parameter ZNN Models With Finite-Time Convergence and Noise Suppression for Time-Varying Matrix Moore-Penrose Inversion

Zhiguo Tan, Weibing Li, Lin Xiao, Yueming Hu. New Varying-Parameter ZNN Models With Finite-Time Convergence and Noise Suppression for Time-Varying Matrix Moore-Penrose Inversion. IEEE Transactions on Neural Networks, 31(8):2980-2992, 2020. [doi]

@article{TanLXH20,
  title = {New Varying-Parameter ZNN Models With Finite-Time Convergence and Noise Suppression for Time-Varying Matrix Moore-Penrose Inversion},
  author = {Zhiguo Tan and Weibing Li and Lin Xiao and Yueming Hu},
  year = {2020},
  doi = {10.1109/TNNLS.2019.2934734},
  url = {https://doi.org/10.1109/TNNLS.2019.2934734},
  researchr = {https://researchr.org/publication/TanLXH20},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Neural Networks},
  volume = {31},
  number = {8},
  pages = {2980-2992},
}