ZFD formula \(4\mathrm{I}g\mathrm{SFD}\_\mathrm{Y}\) applied to future minimization

DOI10.1016/j.physleta.2017.03.025zbMath1378.82042OpenAlexW2601174671MaRDI QIDQ1680199

Min Yang, Sheng Wu, Jian Li, Liu He, Yu-Nong Zhang

Publication date: 23 November 2017

Published in: Physics Letters. A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physleta.2017.03.025

zbMATH Keywords

discrete-time4-instant \(g\)-square finite differencefuture minimizationzeroing neural network (ZNN)

Mathematics Subject Classification ID

Neural nets applied to problems in time-dependent statistical mechanics (82C32)

Related Items (7)

Four discrete-time ZD algorithms for dynamic linear matrix-vector inequality solving ⋮ Stepsize domain confirmation and optimum of zead formula for future optimization ⋮ New zeroing neural dynamics models for diagonalization of symmetric matrix stream ⋮ Time-varying matrix eigenanalyses via Zhang neural networks and look-ahead finite difference equations ⋮ Discrete-time Zhang neural networks for time-varying nonlinear optimization ⋮ From mathematical equivalence such as Ma equivalence to generalized Zhang equivalency including gradient equivalency ⋮ The construction of high order convergent look-ahead finite difference formulas for Zhang Neural Networks

Cites Work

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