Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm

Sanglin Zhao, Zhetong Li, Hao Deng, Xing You, Jiaang Tong, Bingkun Yuan, Zihao Zeng

Open source

DOI: 10.3389/fenvs.2024.1497941
Published: 2024-11-26
Container: Frontiers in Environmental Science
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fenvs.2024.1497941,
  title = {Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm},
  author = {Sanglin Zhao and Zhetong Li and Hao Deng and Xing You and Jiaang Tong and Bingkun Yuan and Zihao Zeng},
  year = {2024},
  journal = {Frontiers in Environmental Science},
  doi = {10.3389/fenvs.2024.1497941},
  url = {https://doi.org/10.3389/fenvs.2024.1497941}
}

RIS

TY  - JOUR
TI  - Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm
AU  - Sanglin Zhao
AU  - Zhetong Li
AU  - Hao Deng
AU  - Xing You
AU  - Jiaang Tong
AU  - Bingkun Yuan
AU  - Zihao Zeng
PY  - 2024
JO  - Frontiers in Environmental Science
DO  - 10.3389/fenvs.2024.1497941
UR  - https://doi.org/10.3389/fenvs.2024.1497941
ER  -

APA

Zhao, S., Li, Z., Deng, H., You, X., Tong, J., Yuan, B., & Zeng, Z. (2024). Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm. Frontiers in Environmental Science. https://doi.org/10.3389/fenvs.2024.1497941

Source records

crossref · retrieved 2026-11-11T01:00:02.756Z