A GRU-KAN Surrogate Model with Genetic Algorithm Uniform Sampling for Active Magnetic Bearings-Rotor Critical Speed Prediction.
- DOI
- 10.3390/s25185680
- Published
- 2025 Sep 11
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.3390/s25185680,
title = {A GRU-KAN Surrogate Model with Genetic Algorithm Uniform Sampling for Active Magnetic Bearings-Rotor Critical Speed Prediction.},
author = {Cui J and Li J and Cai F and Zhao Z and Liu Y},
year = {2025},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s25185680},
url = {https://doi.org/10.3390/s25185680}
}RIS
TY - JOUR TI - A GRU-KAN Surrogate Model with Genetic Algorithm Uniform Sampling for Active Magnetic Bearings-Rotor Critical Speed Prediction. AU - Cui J AU - Li J AU - Cai F AU - Zhao Z AU - Liu Y PY - 2025 JO - Sensors (Basel, Switzerland) DO - 10.3390/s25185680 UR - https://doi.org/10.3390/s25185680 ER -
APA
J, C., J, L., F, C., Z, Z., & Y, L. (2025). A GRU-KAN Surrogate Model with Genetic Algorithm Uniform Sampling for Active Magnetic Bearings-Rotor Critical Speed Prediction.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25185680
Source records
- pubmed · retrieved 2026-11-10T20:31:25.335Z