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- Settlement Prediction Model for Soft Clay Roadbed Step Load 软土路基分级加载沉降预测模型及应用
- ESTABLISHING A GROUND SETTLEMENT PREDICTION MODEL WITH ELASTIC SLAB THEORY 用弹性板理论建立地表沉陷预计模型
- Settlement prediction model of wettest-soft loess subgrade in ravine regions 黄土沟壑区湿软路基沉降预测模型
- A NEW PREDICTION MODEL WITH TIME- DEPENDENT PARAMETERS USED FOR SETTLEMENT PREDICTION 时变参数预测模型及其在沉降预测中的应用
- Bilinear settlement prediction model in consideration of lateral deformation of subgrade 考虑路基侧向变形的沉降双线性预测模型
- Settlement prediction model of roadbed on soft ground based on artificial neural network with interference function 公路软基沉降函数干涉神经网络预测模型
- Study on settlement prediction model considering rheological properties of soft soils 考虑软土流变特性的沉降预测模型研究
- settlement prediction model 沉降预测模型
- building settlement predictive modeling 沉降预测模型
- The prediction model of coiled tubing fatigue life. 连续油管疲劳寿命预测模型的建立。
- The engineering practice proves that MGM(1,n) model possesses rather better precision and forecast reliability comparing with GM(1,1) model,which will have positive influence on settlement prediction. 工程实例显示,与单变量GM(1,1)模型相比,MGM(1,n )模型有较好的精度和预测可靠度,对沉降预测有一定指导意义。
- Settlement prediction is the key factor to determine time of pavement construction during construction of expressway. 在高速公路施工过程中,沉降预测是正确决定路面铺设时间的关键。
- Wu Yonghong, et al.A settlement prediction method for multi-under-reamed cast-in-situ pile foundation [J].Chinese Journal of Geotechnical Engineering, 2000, 22(5): 528-531. [2]吴永红; 等.;多支盘钻孔灌注桩基础沉降计算理论与方法[J]
- The new neural network prediction model of water level is established based on the principal component analysis (PCA). 采用人工神经网络与主分量分析相结合的方法，建立了梧州水位的预报模型。
- Then, the mechanism, the calculation of bearing capacity, the settlement prediction and the parameter choose of gravel and CFG pile were discussed in detail. 主要论述了碎石桩和CFG桩的作用机理、复合地基承载力计算、变形预测和参数设计。
- EOF analyst method is developed to prediction model and here it is used to restore and predict the underwater terrain. 对累积的大量数据进行专题分析，目前发展了EOF分析方法为预测模式，并对黄河三角洲水下地形的恢复和预测作了探讨。
- Subsidence prediction model combining RS and ANN( artificial neural network) is estab1 ished. 建立了以粗集作为前处理器，基于粗集与神经网络相结合的开采沈陷预计模型。
- It selects ESN with the mechanism of the "reservoir" as predict model to set up a direct predict method which directly relates the prediction origin and prediction horizon. 通过选取具有储备池机制的回声状态网络ESN作为网络预测模型，建立一种直接预测方法，直接构建预测原点和预测时域之间的定量关系。
- Also known as predictive models? 导向模式?
- Subsidence prediction model combining RS and ANN (artificial neural network) is estab1ished. 建立了以粗集作为前处理器，基于粗集与神经网络相结合的开采沈陷预计模型。
