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μ-Stability of (η1,η2)-pseudo almost periodic solution for octonion-valued fuzzy BAM cellular neural networks with mixed delays

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  • Amdouni, Manel

Abstract

Complex-valued and quaternion-valued neural networks often struggle with inherently complex, high-dimensional data, such as hyperspectral images, volumetric data, or physical systems with seven degrees of freedom. To tackle these challenges, researchers have looked for a more advanced and expressive model: octonion-valued neural networks. Octonions extend quaternions and are represented as an eight-dimensional number system, providing a rich algebraic structure that enables the modeling and processing of highly multidimensional signals while capturing intricate relationships between components.

Suggested Citation

  • Amdouni, Manel, 2026. "μ-Stability of (η1,η2)-pseudo almost periodic solution for octonion-valued fuzzy BAM cellular neural networks with mixed delays," Chaos, Solitons & Fractals, Elsevier, vol. 203(C).
    • Handle: RePEc:eee:chsofr:v:203:y:2026:i:c:s0960077925016789
    DOI: 10.1016/j.chaos.2025.117665
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