Sensitivity Analysis on a Computational Model of Olfaction Using Gaussian Process, Generalized Polynomial Chaos and Neural Networks.

Chandrasekaran V, He Y, Ohara D, Waldrop L

DOI: 10.1007/s11538-026-01768-3
Published: 2026 Oct 8
Container: Bulletin of mathematical biology
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1007/s11538-026-01768-3,
  title = {Sensitivity Analysis on a Computational Model of Olfaction Using Gaussian Process, Generalized Polynomial Chaos and Neural Networks.},
  author = {Chandrasekaran V and He Y and Ohara D and Waldrop L},
  year = {2026},
  journal = {Bulletin of mathematical biology},
  doi = {10.1007/s11538-026-01768-3},
  url = {https://doi.org/10.1007/s11538-026-01768-3}
}

RIS

TY  - JOUR
TI  - Sensitivity Analysis on a Computational Model of Olfaction Using Gaussian Process, Generalized Polynomial Chaos and Neural Networks.
AU  - Chandrasekaran V
AU  - He Y
AU  - Ohara D
AU  - Waldrop L
PY  - 2026
JO  - Bulletin of mathematical biology
DO  - 10.1007/s11538-026-01768-3
UR  - https://doi.org/10.1007/s11538-026-01768-3
ER  -

APA

V, C., Y, H., D, O., & L, W. (2026). Sensitivity Analysis on a Computational Model of Olfaction Using Gaussian Process, Generalized Polynomial Chaos and Neural Networks.. Bulletin of mathematical biology. https://doi.org/10.1007/s11538-026-01768-3

Source records

pubmed · retrieved 2026-11-10T10:30:30.207Z
europe-pmc · retrieved 2026-11-10T10:30:30.201Z