General five-step discrete-time Zhang neural network for time-varying nonlinear optimization

DOI10.1007/s40840-019-00770-4zbMath1440.90075OpenAlexW2942682251MaRDI QIDQ2305651

Min Sun, Y. J. Wang

Publication date: 11 March 2020

Published in: Bulletin of the Malaysian Mathematical Sciences Society. Second Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40840-019-00770-4

zbMATH Keywords

step sizetime-varying nonlinear optimizationdiscrete-time Zhang neural network

Mathematics Subject Classification ID

Nonlinear programming (90C30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (3)

Relationship between time-instant number and precision of ZeaD formulas with proofs ⋮ 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

Cites Work

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• New five-step DTZD algorithm for future nonlinear minimization with quartic steady-state error pattern
• Taylor-type 1-step-ahead numerical differentiation rule for first-order derivative approximation and ZNN discretization
• Noise-Tolerant ZNN Models for Solving Time-Varying Zero-Finding Problems: A Control-Theoretic Approach

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