General Six-Step Discrete-Time Zhang Neural Network for Time-Varying Tensor Absolute Value Equations
This article presents a general six-step discrete-time Zhang neural network (ZNN) for time-varying tensor absolute value equations. Firstly, based on the Taylor expansion theory, we derive a general Zhang et al. discretization (ZeaD) formula, i.e., a general Taylor-type 1-step-ahead numerical differ...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2019/4861912 |
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