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A recurrent neural network with predefined-time convergence and improved noise tolerance for dynamic matrix square root finding.

Weibing LiBolin LiaoLin XiaoRongbo Lu
Published in: Neurocomputing (2019)
Keyphrases
  • square root
  • noise tolerance
  • floating point
  • kalman filtering
  • euclidean space
  • noise tolerant
  • arrival rate
  • high dimensional
  • special case
  • kalman filter
  • probability density function
  • metric space
  • learning theory