Output contraction analysis of discrete-time nonlinear systems with an application to RNNs.
- DOI
- 10.1016/j.neunet.2025.107846
- Published
- 2025 Nov
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2025.107846,
title = {Output contraction analysis of discrete-time nonlinear systems with an application to RNNs.},
author = {Gao Y and Jiao T and Li Y and Li B and Sun H and Xing X},
year = {2025},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2025.107846},
url = {https://doi.org/10.1016/j.neunet.2025.107846}
}RIS
TY - JOUR TI - Output contraction analysis of discrete-time nonlinear systems with an application to RNNs. AU - Gao Y AU - Jiao T AU - Li Y AU - Li B AU - Sun H AU - Xing X PY - 2025 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2025.107846 UR - https://doi.org/10.1016/j.neunet.2025.107846 ER -
APA
Y, G., T, J., Y, L., B, L., H, S., & X, X. (2025). Output contraction analysis of discrete-time nonlinear systems with an application to RNNs.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2025.107846
Source records
- pubmed · retrieved 2026-09-26T03:55:41.790Z