The results show that the Artificial Neural Network models of estimation and grade evaluation of liquefaction is scientific and effective.
说明建立的液化判别及等级评价的网络模型是科学的、有效的。
参考来源 - 人工神经网络在地基土液化判别及等级评价中的应用The results show that the Artificial Neural Network model of estimation of liquefaction is scientific and effective.2)The Artificial Neural Network models can reveal internal relation between structural parameters and operation,and formularize the mapping of input-output information.
说明建立的液化判别的网络模型是科学的、有效的。
参考来源 - 人工神经网络在地基土液化判别中的作用·2,447,543篇论文数据，部分数据来源于NoteExpress
分析了多元统计方法在饱和砂土液化判别方面的应用。
This paper analyzes the application of the statistical analysis method to the estimation of the liquefaction of sand.
但对于一般工程，通常是根据液化判别标准来估计其液化势。
But for a general engineering the liquefaction potential is usually evaluated by the liquefaction criterion.
本文根据大量的勘察资料讨论了液化判别问题并分析了地基处理问题。
Based on a large amount of investigation data. This paper discusses the problem of liquefaction disc...
应用推荐