Stability analysis of different quaternion-valued Impulsive BAM neural networks with unknown parameters and time-varying delays

This paper investigates the stability of quaternion-valued impulsive bidirectional associative memory (BAM) neural networks with time-varying delays and unknown parameters. By constructing novel Lyapunov functions and proposing appropriate assumptions

Institutions

Kunming University (CN)

Publication Details

Published: 2025-10-13
DOI: https://doi.org/10.22541/au.176035043.34990730/v1
Primary Topic: Neural Networks Stability and Synchronization
Type: article
Field-Weighted Citation Impact: 0.00

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article

Stability analysis of different quaternion-valued Impulsive BAM neural networks with unknown parameters and time-varying delays

Oct 13, 2025

Neural Networks Stability and Synchronization

article

Stability analysis of different quaternion-valued Impulsive BAM neural networks with unknown parameters and time-varying delays

October 13, 2025article en

Abstract

Kunming University (CN)

Openalex Percentile: Top 43%

Neural Networks Stability and Synchronization

DOI Open Access PDF OpenAlex

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Stability analysis of different quaternion-valued Impulsive BAM neural networks with unknown parameters and time-varying delays · (2025) | TGRS Research Map | TGRS