Mineral prospectivity prediction based on convolutional neural network and ensemble learning.

He H, Zhu H, Yang X, Zhang W, Wang J

Open source

DOI
10.1038/s41598-024-73357-0
Published
2024 Sep 30
Container
Scientific reports
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-73357-0,
  title = {Mineral prospectivity prediction based on convolutional neural network and ensemble learning.},
  author = {He H and Zhu H and Yang X and Zhang W and Wang J},
  year = {2024},
  journal = {Scientific reports},
  doi = {10.1038/s41598-024-73357-0},
  url = {https://doi.org/10.1038/s41598-024-73357-0}
}

RIS

TY  - JOUR
TI  - Mineral prospectivity prediction based on convolutional neural network and ensemble learning.
AU  - He H
AU  - Zhu H
AU  - Yang X
AU  - Zhang W
AU  - Wang J
PY  - 2024
JO  - Scientific reports
DO  - 10.1038/s41598-024-73357-0
UR  - https://doi.org/10.1038/s41598-024-73357-0
ER  -

APA

H, H., H, Z., X, Y., W, Z., & J, W. (2024). Mineral prospectivity prediction based on convolutional neural network and ensemble learning.. Scientific reports. https://doi.org/10.1038/s41598-024-73357-0

Source records