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Updated: Jun 12, 2025

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一个新的基于集体的深度模型,具有异常值去除和顺序不变排名,用于二氧化碳排放预测

Huan Yan1, Zhaoyang Xu2

  • 1Institute of Industrial Economics, Chinese Academy of Social Science, Beijing, 100006, PR China. yanhuan56@126.com.

Environmental science and pollution research international
|September 17, 2024
PubMed
概括

准确的二氧化碳 (CO2) 排放预测对于气候政策至关重要. 本研究引入了使用长短期记忆 (LSTM) 网络的深度合并模型,提高了预测准确性和稳定性,以进行知情决策.

关键词:
二氧化碳排放的二氧化碳排放量.深度集体学习是深度集体学习.长时间短期机器 (LSTM)一个不变顺序的排名.异常值的去除 异常值的去除

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