Forecasting the development trend of the green finance market based on long short-term memory and transformer models

Shangwu Shen, Yue Yuan

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DOI: 10.1038/s41598-026-58790-7
Published: 2026-06-30
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-58790-7,
  title = {Forecasting the development trend of the green finance market based on long short-term memory and transformer models},
  author = {Shangwu Shen and Yue Yuan},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-58790-7},
  url = {https://doi.org/10.1038/s41598-026-58790-7}
}

RIS

TY  - JOUR
TI  - Forecasting the development trend of the green finance market based on long short-term memory and transformer models
AU  - Shangwu Shen
AU  - Yue Yuan
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-58790-7
UR  - https://doi.org/10.1038/s41598-026-58790-7
ER  -

APA

Shen, S., & Yuan, Y. (2026). Forecasting the development trend of the green finance market based on long short-term memory and transformer models. Scientific Reports. https://doi.org/10.1038/s41598-026-58790-7

Source records

crossref · retrieved 2026-09-25T14:24:51.796Z