General six-step discrete-time Zhang neural network for time-varying tensor absolute value equations

DOI10.1155/2019/4861912zbMath1453.92022OpenAlexW2998554321WikidataQ126424143 ScholiaQ126424143MaRDI QIDQ2296506

Jing Liu, Min Sun

Publication date: 18 February 2020

Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/4861912

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (4)

Noise-tolerant continuous-time Zhang neural networks for time-varying Sylvester tensor equations ⋮ A novel noise-tolerant Zhang neural network for time-varying Lyapunov equation ⋮ From Penrose equations to Zhang neural network, Getz-Marsden dynamic system, and DDD (direct derivative dynamics) using substitution technique ⋮ The existence and uniqueness of solution for tensor complementarity problem and related systems

Cites Work

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• Tensor absolute value equations
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• Numerical Methods for Ordinary Differential Equations

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