Reduced-size kernel models for nonlinear hybrid system identification.
- DOI
- 10.1109/tnn.2011.2171361
- Published
- 2011 Dec
- Container
- IEEE transactions on neural networks
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tnn.2011.2171361,
title = {Reduced-size kernel models for nonlinear hybrid system identification.},
author = {Le VL and Bloch G and Lauer F},
year = {2011},
journal = {IEEE transactions on neural networks},
doi = {10.1109/tnn.2011.2171361},
url = {https://doi.org/10.1109/tnn.2011.2171361}
}RIS
TY - JOUR TI - Reduced-size kernel models for nonlinear hybrid system identification. AU - Le VL AU - Bloch G AU - Lauer F PY - 2011 JO - IEEE transactions on neural networks DO - 10.1109/tnn.2011.2171361 UR - https://doi.org/10.1109/tnn.2011.2171361 ER -
APA
VL, L., G, B., & F, L. (2011). Reduced-size kernel models for nonlinear hybrid system identification.. IEEE transactions on neural networks. https://doi.org/10.1109/tnn.2011.2171361
Source records
- pubmed · retrieved 2026-09-26T10:04:46.810Z