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Application of PLS Path Model to Forecast Karst Collapse Hazard in Wuhan City

机译:PLS路径模型在武汉市预测喀斯特崩溃危险的应用

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The study level of karst collapses is still macroscopic and qualitative right now. A lot of work about the hazard forecast methods of Karst collapses has been done, the application of many new methods such as grey statistics, neural network, and AHP-fuzziness compositive evaluation has heightened the precision obviously and a lot of better effictiveness has been obtained. The PLS Path Model adopt the iteration solution of monogenesis or multivariant linear regression, this model does not need hypothesizing the probability distribution of observation variables and the requirement of sample point capacitance is very loose, and the problem that the model can not be recognized does not exist, so it is an effective linearity statistics modeling method. Therefore, in this paper, based on analysis on the influence factors in Wuhan karst collapses and Gis technique, the PLS Path Model was used to forecast the hazard potentiality of Karst collapse in Wuhan city and good results have been obtained. It was found that the application of this model could get good effictiveness and this model should be adopted widely.
机译:喀斯特坍塌的研究水平仍然是宏观和定性。已经完成了大量关于喀斯特崩溃的危险预测方法的工作,所以应用许多新方法,如灰色统计,神经网络和AHP-Fuzziness综合评估已经提高了精度明显,并且已经获得了很多更好的效果。 PLS路径模型采用单一组织或多变量线性回归的迭代解决方案,该模型不需要假设观察变量的概率分布,采样点电容的要求非常松散,并且无法识别模型的问题存在,所以它是一种有效的线性统计建模方法。因此,本文在分析武汉岩溶折叠和GIS技术的影响因素的分析中,PLS路径模型用于预测武汉市喀斯特崩溃的危害,得到了良好的效果。结果发现,该模型的应用可以得到良好的效果,并且应该广泛采用这种模型。

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