LSTMARIMA

Can Tan1,2, Junyi Zhong3, Dajun Yang4

  • 1School of Management, Guangdong Ocean University, Zhanjiang City, Guangdong Province, China.

PloS one
|September 3, 2025
PubMed
まとめ

地球温暖化傾向は顕著ですが,COVID-19は一時的に温室効果ガスの排出を遅らせました. この研究はLSTMとARIMAモデルを組み合わせて,正確な地球温暖化予測を行い,環境政策を支援しています.

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