Recurrent Neural Network Approach Based on the Integral Representation of the Drazin Inverse

DOI10.1162/NECO_a_00771zbMath1472.92042OpenAlexW2198164043WikidataQ50862311 ScholiaQ50862311MaRDI QIDQ5380328

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

Publication date: 4 June 2019

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/neco_a_00771

Mathematics Subject Classification ID

Theory of matrix inversion and generalized inverses (15A09) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (12)

Neural network approach to computing outer inverses based on the full rank representation ⋮ Beetle antennae search for neural network model with application to population prediction: An intelligent optimization algorithm ⋮ Simulation of varying parameter recurrent neural network with application to matrix inversion ⋮ Recurrent Neural Network Approach Based on the Integral Representation of the Drazin Inverse ⋮ Recurrent Neural Network for Computing Outer Inverse ⋮ Complex Neural Network Models for Time-Varying Drazin Inverse ⋮ Recurrent neural network for computing the \(W\)-weighted Drazin inverse ⋮ ZNN models for computing matrix inverse based on hyperpower iterative methods ⋮ Two finite-time convergent Zhang neural network models for time-varying complex matrix Drazin inverse ⋮ Symbolic computation of Drazin inverses by specializations ⋮ 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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