Noise-tolerant continuous-time Zhang neural networks for time-varying Sylvester tensor equations
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Publication:2141962
DOI10.1186/s13662-019-2406-8zbMath1487.15019OpenAlexW2986611588WikidataQ126813078 ScholiaQ126813078MaRDI QIDQ2141962
Publication date: 25 May 2022
Published in: Advances in Difference Equations (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1186/s13662-019-2406-8
global convergencegradient-based neural networknoise-tolerant continuous-time Zhang neural networktime-varying Sylvester tensor equations
Matrix equations and identities (15A24) Multilinear algebra, tensor calculus (15A69) Numerical methods for matrix equations (65F45)
Related Items (3)
Computing tensor generalized inverses via specialization and rationalization ⋮ A novel noise-tolerant Zhang neural network for time-varying Lyapunov equation ⋮ Improved finite-time solutions to time-varying Sylvester tensor equation via zeroing neural networks
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