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Updated: Jun 18, 2025

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深度学习模型在预测流动模式中的相互比较:来自CMIP6的洞察力

Hamid Anwar1, Afed Ullah Khan2, Basir Ullah1

  • 1Department of Civil Engineering, University of Engineering and Technology, Peshawar, 25000, Pakistan.

Scientific reports
|July 30, 2024
PubMed
概括

时间滞后的人工神经网络 (TLANN) 准确预测了斯瓦特河流域的流量. 这种深度学习模型为未来的气候场景提供可靠的水资源管理见解.

关键词:
在CMIP6中,CMIP6是CMIP6.深度学习是一种深度学习.在GCM中,GCM是指GCM.预测 预测 预测流的流量 流的流量

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