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Updated: Jul 3, 2025

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在碳排放预测研究中,哪个模型更有效? 深度学习模型,机器学习模型和计量经济学模型的比较研究

Xiao Yao1, Hong Zhang2, Xiyue Wang3

  • 1Information Department of Hohai University, Changzhou, 213002, China.

Environmental science and pollution research international
|February 14, 2024
PubMed
概括

深度学习模型,特别是启发式神经网络,在预测未来的碳排放方面提供了比传统经济学模型更高的准确性. 这项研究强调了它们适用于碳排放预测的适用性.

关键词:
碳排放排放碳排放排放排放进行比较分析.深度学习是一种深度学习.经济度学模型是一个经济度学模型.启发式神经网络是一种启发式神经网络.这就是为什么STIRPAT.

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