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

机译:BP神经网络路堤沉降预测在季节性冻区的应用

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摘要

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.
机译:考虑到温度在季节性冻区的冻融循环中的作用,温度是BP神经网络输入层的重要因素。根据实际测量结果来预测季节冻结区的沉降,这将使预测结果更符合季节性冻结地面区域的实际工程,同时提高预测精度。

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