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Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion.
Shan Liao
Jiayong Liu
Xiuchun Xiao
Dongyang Fu
Guan-Cheng Wang
Long Jin
Published in:
Neurocomputing (2020)
Keyphrases
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high dimensional
matrix inversion
neural network
monte carlo
least squares
computational cost
global exponential stability
artificial neural networks
light transport
linear combination
kernel matrix
policy evaluation
machine learning
feature selection
image sequences
markov chain