Based on the powerful nonlinear reflection and training function of artificial neural networks, the model of BP neural network for foundation piles integrity testing is put forward.
利用人工神经网络强大的非线性映射能力和学习训练功能，提出了基于BP网络的基桩完整性检测模型。
There are many methods for analyzing the data of low strain integrity testing on foundation piles, but there are a lot of the artificial interferences in the data processing.
目前基桩低应变完整性检测数据的后期处理有很多方法，但分析中人为干预较多。
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