GNN Model for Time-Varying Matrix Inversion With Robust Finite-Time Convergence.
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DOI: 10.1109/tnnls.2022.3175899
Abstract: As a type of recurrent neural networks (RNNs) modeled as dynamic systems, the gradient neural network (GNN) is recognized as an effective method for static matrix inversion with exponential convergence. However, when it comes to… read more here.
Keywords: time; matrix inversion; varying matrix; inversion ... See more keywords