Two Novel Noise-Suppression Projection Neural Networks With Fixed-Time Convergence for Variational Inequalities and Applications
- DOI
- 10.1109/tnnls.2023.3321761
- Published
- 2025-01
- Container
- IEEE Transactions on Neural Networks and Learning Systems
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnnls.2023.3321761,
title = {Two Novel Noise-Suppression Projection Neural Networks With Fixed-Time Convergence for Variational Inequalities and Applications},
author = {Xinsong Yang and Xingxing Ju and Peng Shi and Guanghui Wen},
year = {2025},
journal = {IEEE Transactions on Neural Networks and Learning Systems},
doi = {10.1109/tnnls.2023.3321761},
url = {https://doi.org/10.1109/tnnls.2023.3321761}
}RIS
TY - JOUR TI - Two Novel Noise-Suppression Projection Neural Networks With Fixed-Time Convergence for Variational Inequalities and Applications AU - Xinsong Yang AU - Xingxing Ju AU - Peng Shi AU - Guanghui Wen PY - 2025 JO - IEEE Transactions on Neural Networks and Learning Systems DO - 10.1109/tnnls.2023.3321761 UR - https://doi.org/10.1109/tnnls.2023.3321761 ER -
APA
Yang, X., Ju, X., Shi, P., & Wen, G. (2025). Two Novel Noise-Suppression Projection Neural Networks With Fixed-Time Convergence for Variational Inequalities and Applications. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2023.3321761
Source records
- crossref · retrieved 2026-09-26T16:14:42.036Z