For online solution of nonlinear equation f(x) = 0, this paper generalizes a special kind of recurrent neural dynamics by using a recent design method ...
Oct 6, 2010 · In this paper, we generalize the ZND design method to solving online nonlinear time-varying equations in the form of f (x, t) = 0. For ...
In [50] , Zhang neural dynamics and gradient-based neural dynamics are proposed to solve online nonlinear timevarying equations, and in [51], it is verified ...
In this paper, we generalize the ZND design method to solving online nonlinear time-varying equations in the form of f (x, t) = 0. For comparative purposes, the ...
Further studies on zhang neural-dynamics and gradient dynamics for online nonlinear equations solving · Solution of nonlinear equations by continuous- and ...
Comparison on Gradient-Based Neural Dynamics and Zhang Neural Dynamics for Online Solution of Nonlinear Equations. Authors: Yunong Zhang. Yunong Zhang. School ...
Computer-simulation results via power-sigmoid activation functions substantiate the theoretical analysis and efficacy of the ZND model for solving online ...
For comparative purposes, the gradient dynamics is developed and exploited as well for solving online such nonlinear equations. Conventionally and geometrically ...
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For comparative purposes, the gradient dynamics is developed and exploited as well for solving online such nonlinear equations. Conventionally and geometrically ...
Title: Comparison on Zhang neural dynamics and gradient-based neural dynamics for online solution of nonlinear time-varying equation. Language: English