BP神经网络在季节性冻土区路堤沉降预测中的应用

2013 Fourth International Conference on Digital Manufacturing & Automation Pub Date : 2013-06-29 DOI:10.1109/ICDMA.2013.66

Jia-feng Chen, Hai-bin Wei, Bao-ping An, Zhang Peng, Yang-peng Zhang

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引用次数: 1

摘要

考虑季节冻土区冻融循环中温度的作用，温度作为BP神经网络输入层的重要因素。季节冻土区的沉降预测基于实测数据，使预测结果更符合季节冻土区的实际工程，同时提高了预测精度。

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Application of BP Neural Network Embankment Settlement Prediction in Seasonal Frozen Areas

Considering the function of temperature in Freeze-thaw cycle of seasonal frozen area, temperature is an important factor as BP neural network input layer. The settlement in Season frozen area is predicted based on actual measurements, which will enable the prediction results more in line with the actual engineering of the seasonally frozen ground region, and at the same time improve the prediction accuracy.

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2013 Fourth International Conference on Digital Manufacturing & Automation

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