An accelerated ZNN-based algorithm with piecewise time-varying parameters to solve time-variant linear equations

DOI10.1016/j.cam.2021.113665zbMath1493.65126OpenAlexW3165823140MaRDI QIDQ2043169

Bolin Liao, Jianhua Dai, Lin Xiao, Yong-Jun He

Publication date: 29 July 2021

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2021.113665

zbMATH Keywords

finite-time convergencezeroing neural networkfixed-parameter ZNNpiecewise time-varying parameterstime-variant linear equations

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Stability and convergence of numerical methods for ordinary differential equations (65L20) Linear ordinary differential equations and systems (34A30) Numerical methods for ordinary differential equations (65L99)

Related Items (1)

General 9-instant discrete-time Zhang neural network for time-dependent applications

Cites Work

• Continuous and discrete time Zhang dynamics for time-varying 4th root finding
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• Some investigation on Hermitian positive-definite solutions of a nonlinear matrix equation
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• Performance Analysis of Gradient Neural Network Exploited for Online Time-Varying Matrix Inversion
• Two New Types of Zhang Neural Networks Solving Systems of Time-Varying Nonlinear Inequalities

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