Ronghua Yang1, Hao Wu1, Rongfei Yang2

  • 1School of Civil Engineering, Chongqing University, Chongqing 400045, China.

PubMed
概括

这项研究引入了一个深度学习模型,即空间频率尺度变化自编码器 (SFS-VAE),用于分析复杂的施莱伦成像数据. SFS-VAE有效地提取流动特征,改善数据分析和流体动力学预测准确度.

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