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Updated: Jul 1, 2025

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    PubMed
    概括

    这项研究确定了使用经验风险最小化 (ERM) 与依赖样本的深度神经网络 (DNN) 的快速学习率. 这项工作通过解决几何强烈混合的序列来概括现有理论,这是DNN融合研究的首次.

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    Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
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