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应用人工神经网络原理，根据地震液化的实测资料，建立了 ８个因素综合考虑的预测砂土液化的ＢＰ神经网络模型．通过实例计算与模型评价，验证了该模型的科学性、高效性并较规范法具有更高的预测精度，不仅为砂土液化提供了又一新的研究方法，而且为进一步完善规范公式提出了建议．
Based on the measured data of seismic liquefaction, a BP neural network model for predicting sand liquefaction with comprehensive consideration was established based on artificial neural network theory. Through the example calculation and model evaluation, the model is proved to be scientific and efficient, and has higher prediction accuracy than the normalized method. This not only provides a new research method for sand liquefaction, but also provides a new method to further improve the standard formula Suggest.