应用BP神经网络预测嵌岩桩竖向承载力的研究

STUDY ON THE APPLICATION OF BP NERVE NETWORK TO PREDICTION OF VERTICAL BEARING CAPACITY OF AN INROCK-EMBEDDED PILE

利用BP神经网络,建立了嵌岩桩竖向承载力预测的BP神经网络模型,采用嵌岩桩竖向承载力的实验数据对网络进行了训练,并以此训练好的BP神经网络对嵌岩桩承载力进行了预测。预测结果表明,该模型具有很高的预测精度,为预测嵌岩桩承载力提供了一种新的方法。

This paper introduces the application of BP nerve network to the establishment of the model of in-rock-embedded pile vertical bearing capacity prediction and adopts the experiment data of in-rock-embedded pile to train BP nerve network which can predict the vertical bearing capacity of in-rock-embedded pile. The predicted results indicate that the model can gain high prediction precision, which provides a new way for the prediction of in-rock-embedded pile vertical bearing capacity.