Modeling of Moisture Content of Subgrade Materials in High-Speed Railway Using a Deep Learning Method

<div>Variations in moisture content were measured at three depths in two sections from August 2015 to March 2016. <i>Note.</i> H1 to H3 represents depth of 0.2, 0.5, and 1.0 m, respectively. (a-b) K 2020 + 024 section. (c-d) K 2028 + 746 section.</div>

Advances in Materials Science and Engineering

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Figure 2

Figure 2: Modeling of Moisture Content of Subgrade Materials in High-Speed Railway Using a Deep Learning Method 