Computational simulations and uniform stability of fractional order neural networks under perturbed system setup
This study addresses the existence and uniform stability of solutions for a class of Caputo-type fractional-order bidirectional associative memory (BAM) neural networks incorporating leakage delay in the view of perturbed system setup. A few numerical examples with delay and fractional parameters demonstrates the consistency of the theoretical results.
Authors
- Amer Hassan Albargi (ORCID: https://orcid.org/0009-0003-6578-7908)
- Sumati Kumari Panda (ORCID: https://orcid.org/0000-0002-0220-8222)
- Jamshaid Ahmad
- Kalla Kumara Swamy
Institutions
- King Abdulaziz University (SA)
- Sefako Makgatho Health Sciences University (ZA)
- University of Jeddah (SA)
- GITAM University (IN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-05-09
- DOI
- https://doi.org/10.1038/s41598-026-51847-7
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 0.00