PM(2.5) Forecast in Korea using the Long Short-Term Memory (LSTM) Model.

Ho CH, Park I, Kim J, Lee JB

DOI: 10.1007/s13143-022-00293-2
Published: 2022 Sep 19
Container: Asia-Pacific journal of atmospheric sciences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s13143-022-00293-2,
  title = {PM(2.5) Forecast in Korea using the Long Short-Term Memory (LSTM) Model.},
  author = {Ho CH and Park I and Kim J and Lee JB},
  year = {2022},
  journal = {Asia-Pacific journal of atmospheric sciences},
  doi = {10.1007/s13143-022-00293-2},
  url = {https://doi.org/10.1007/s13143-022-00293-2}
}

RIS

TY  - JOUR
TI  - PM(2.5) Forecast in Korea using the Long Short-Term Memory (LSTM) Model.
AU  - Ho CH
AU  - Park I
AU  - Kim J
AU  - Lee JB
PY  - 2022
JO  - Asia-Pacific journal of atmospheric sciences
DO  - 10.1007/s13143-022-00293-2
UR  - https://doi.org/10.1007/s13143-022-00293-2
ER  -

APA

CH, H., I, P., J, K., & JB, L. (2022). PM(2.5) Forecast in Korea using the Long Short-Term Memory (LSTM) Model.. Asia-Pacific journal of atmospheric sciences. https://doi.org/10.1007/s13143-022-00293-2

Source records

pubmed · retrieved 2026-09-27T06:57:32.971Z