Anti-Disturbance Proximal Neural Networks for Composite Resource Allocation.
- DOI
- 10.1109/tnnls.2026.3675092
- Published
- 2026 Sep
- Container
- IEEE transactions on neural networks and learning systems
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2026.3675092,
title = {Anti-Disturbance Proximal Neural Networks for Composite Resource Allocation.},
author = {Luan L and Qi S and Qin S},
year = {2026},
journal = {IEEE transactions on neural networks and learning systems},
doi = {10.1109/tnnls.2026.3675092},
url = {https://doi.org/10.1109/tnnls.2026.3675092}
}RIS
TY - JOUR TI - Anti-Disturbance Proximal Neural Networks for Composite Resource Allocation. AU - Luan L AU - Qi S AU - Qin S PY - 2026 JO - IEEE transactions on neural networks and learning systems DO - 10.1109/tnnls.2026.3675092 UR - https://doi.org/10.1109/tnnls.2026.3675092 ER -
APA
L, L., S, Q., & S, Q. (2026). Anti-Disturbance Proximal Neural Networks for Composite Resource Allocation.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3675092
Source records
- pubmed · retrieved 2026-09-25T18:53:00.414Z