Article citationsMore>>

Huang, X.J. and Cui, B.T. (2017) Neural Network-Based Method for Solving Absolute Value Equations. ICIC Express Letters, 11, 853-861.
https://www.researchgate.net/publication/316452262

has been cited by the following article:

• TITLE: A Novel Inverse-Free Neurodynamic Approach for Solving Absolute Value Equations

  AUTHORS: Tao Li

  KEYWORDS: Absolute Value Equations, Neurodynamic Approach, Fixed-Time Convergence, Numerical Simulations

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.12 No.10, October 28, 2024

  ABSTRACT: We propose a novel inverse-free neurodynamic approach (NIFNA) for solving absolute value equations (AVE). The NIFNA guarantees global convergence and notably improves convergence speed by achieving fixed-time convergence. To validate the theoretical findings, numerical simulations are conducted, demonstrating the effectiveness and efficiency of the proposed NIFNA.