The high precision and reliability of the reconstruction model are reached by increasing sample density of measuring point cloud.
通过增加点云的采样密度，提高重建模型的精度和可靠性。
The algorithm selects training samples by local sample density, to reduce the training samples and thus to improve the speed of learning.
该算法根据样本的局部密度选择训练样本，减少参加训练的样本数量，提高学习速度。
The strength resisting liquefaction increases along with the increase of consolidation pressure, sample density initial shear stress, but the increase of initial shear stress is limited.
抗液化强度随固结压力、试样密度、初始剪应力的增加而增加，但初始剪应力的增加量是有一定限度的。
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