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本文利用有动量因子的梯度下降法和L-M算法两种改进的BP神经网络模型对深基坑的变形进行了预测。工程实例表明,两种改进的BP神经网络模型用于深基坑工程变形预测的可靠性和实用性。
In this paper, two improved BP neural network models with gradient descent of momentum factor and L-M algorithm are used to predict the deformation of deep foundation pit. The engineering examples show that the two improved BP neural network models are applied to the reliability and practicability of the deformation prediction of deep foundation pit engineering.