Momentum Backpropagation for the Settlement Prediction of Subgrade Construction
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摘要: 提出一种采用动量BP算法来预测路基沉降的方法,结合具体的工程实例,构建了预测路基沉降的具体BP神经网络模型。预测结果表明,该模型有较高的预测精度,可作为预测路基沉降的一种新方法。Abstract: The method of Momentum Backpropagation is employed on the prediction of railway subgrade construction. Combined with the concreted example of actual subgrade engineering, the BP neural network model for settlement prediction of roadbed in the railway is founded. The predicting results indicate that the model proposed can gain higher precision, which provides a new way for settlement prediction of the railway roadbed.
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