Relaxed conditions and PSO-based optimization for the problem of Mittag-Leffler synchronization and its application in image restoration for fractional-order octonion-valued two-layer neural networks.
- DOI
- 10.1016/j.neunet.2026.109246
- Published
- 2026 Dec
- Container
- Neural networks : the official journal of the International Neural Network Society
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- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.109246,
title = {Relaxed conditions and PSO-based optimization for the problem of Mittag-Leffler synchronization and its application in image restoration for fractional-order octonion-valued two-layer neural networks.},
author = {Xiao J and Huang B and Wen S},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.109246},
url = {https://doi.org/10.1016/j.neunet.2026.109246}
}RIS
TY - JOUR TI - Relaxed conditions and PSO-based optimization for the problem of Mittag-Leffler synchronization and its application in image restoration for fractional-order octonion-valued two-layer neural networks. AU - Xiao J AU - Huang B AU - Wen S PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.109246 UR - https://doi.org/10.1016/j.neunet.2026.109246 ER -
APA
J, X., B, H., & S, W. (2026). Relaxed conditions and PSO-based optimization for the problem of Mittag-Leffler synchronization and its application in image restoration for fractional-order octonion-valued two-layer neural networks.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.109246
Source records
- pubmed · retrieved 2026-09-26T04:54:26.830Z