Gaussian processes with prior-model-informed kernel for dynamical system modeling.

Tang S, Xiao C, He B, Li N.

DOI: 10.1016/j.neunet.2026.109569
Published: 2026-09-01
Container: Neural Netw
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109569,
  title = {Gaussian processes with prior-model-informed kernel for dynamical system modeling.},
  author = {Tang S and  Xiao C and  He B and  Li N.},
  year = {2026},
  journal = {Neural Netw},
  doi = {10.1016/j.neunet.2026.109569},
  url = {https://doi.org/10.1016/j.neunet.2026.109569}
}

RIS

TY  - JOUR
TI  - Gaussian processes with prior-model-informed kernel for dynamical system modeling.
AU  - Tang S
AU  -  Xiao C
AU  -  He B
AU  -  Li N.
PY  - 2026
JO  - Neural Netw
DO  - 10.1016/j.neunet.2026.109569
UR  - https://doi.org/10.1016/j.neunet.2026.109569
ER  -

APA

S, T., C, X., B, H., & N., L. (2026). Gaussian processes with prior-model-informed kernel for dynamical system modeling.. Neural Netw. https://doi.org/10.1016/j.neunet.2026.109569

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europe-pmc · retrieved 2026-09-25T20:47:49.181Z