Bayesian neural networks for geothermal resource assessment: Prediction with uncertainty
- DOI
- 10.1111/jmi.70146
- Published
- 2026-10-28
- Container
- Journal of Microscopy
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1111/jmi.70146,
title = {Bayesian neural networks for geothermal resource assessment: Prediction with uncertainty},
author = {Stephen Brown and William L. Rodi and Marco Seracini and Chen Gu and Michael Fehler and James E. Faulds and Connor M. Smith and Sven Treitel},
year = {2026},
journal = {Journal of Microscopy},
doi = {10.1111/jmi.70146},
url = {https://doi.org/10.1111/jmi.70146}
}RIS
TY - JOUR TI - Bayesian neural networks for geothermal resource assessment: Prediction with uncertainty AU - Stephen Brown AU - William L. Rodi AU - Marco Seracini AU - Chen Gu AU - Michael Fehler AU - James E. Faulds AU - Connor M. Smith AU - Sven Treitel PY - 2026 JO - Journal of Microscopy DO - 10.1111/jmi.70146 UR - https://doi.org/10.1111/jmi.70146 ER -
APA
Brown, S., Rodi, W. L., Seracini, M., Gu, C., Fehler, M., Faulds, J. E., Smith, C. M., & Treitel, S. (2026). Bayesian neural networks for geothermal resource assessment: Prediction with uncertainty. Journal of Microscopy. https://doi.org/10.1111/jmi.70146
Source records
- crossref · retrieved 2026-11-03T19:36:59.347Z