【摘要】 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．更多还原

【Abstract】 Applying the principle of the artificial neural network and based on the observation data of sand liquefaction, the BP netwok model with eight factors to synthetically predict sand liquefaction is established. By computing practical example and assessing model, the model. is manifested scientific and effective with more accurate predicting result than norm. The article not only brings forward a new reaserch method of sand liquefaction, but also provides advise to perfect norm.更多还原