An inverse-free neural network methods for generalized absolute value equations

YANG Zhongfei; ZHANG Zhenzhu; QIU Luo

doi:10.7540/j.ynu.20250202

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YANG Zhongfei, ZHANG Zhenzhu, QIU Luo. An inverse-free neural network methods for generalized absolute value equationsJ. Journal of Yunnan University: Natural Sciences Edition, 2026, 48(1): 16-25. DOI: 10.7540/j.ynu.20250202

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YANG Zhongfei, ZHANG Zhenzhu, QIU Luo. An inverse-free neural network methods for generalized absolute value equationsJ. Journal of Yunnan University: Natural Sciences Edition, 2026, 48(1): 16-25. DOI: 10.7540/j.ynu.20250202

Citation:

YANG Zhongfei, ZHANG Zhenzhu, QIU Luo. An inverse-free neural network methods for generalized absolute value equationsJ. Journal of Yunnan University: Natural Sciences Edition, 2026, 48(1): 16-25. DOI: 10.7540/j.ynu.20250202

An inverse-free neural network methods for generalized absolute value equations

Abstract

Abstract

Based on the relationship between the solutions of the generalized absolute value equation and the generalized linear complementarity problem, we establishes an inverse-free neural network model for solving the generalized absolute value equation, the stability and error analysis of the model are provided. Its effectiveness is verified through numerical examples.

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An inverse-free neural network methods for generalized absolute value equations

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