Neural network approach to computing outer inverses based on the full rank representation

DOI10.1016/j.laa.2016.03.035zbMath1334.15014OpenAlexW2340966007MaRDI QIDQ273148

Predrag S. Stanimirović, Ivan S. Živković, Yi-Min Wei

Publication date: 21 April 2016

Published in: Linear Algebra and its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.laa.2016.03.035

zbMATH Keywords

recurrent neural networkdynamical systemmatrix spectrumgeneralized inverse \(A_{T, S}^{(2)}\)

Mathematics Subject Classification ID

Factorization of matrices (15A23) Learning and adaptive systems in artificial intelligence (68T05) Theory of matrix inversion and generalized inverses (15A09)

Related Items (7)

An efficient matrix iteration family for finding the generalized outer inverse ⋮ Characterizations of the generalized MPCEP inverse of rectangular matrices ⋮ Conditions for existence, representations, and computation of matrix generalized inverses ⋮ An efficient class of iterative methods for computing generalized outer inverse \({M_{T,S}^{(2)}}\) ⋮ Unnamed Item ⋮ Varying-parameter Zhang neural network for approximating some expressions involving outer inverses ⋮ Complex ZNN for computing time-varying weighted pseudo-inverses

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