Application of BP neural network embankment settlement prediction in seasonal frozen areas

被引：0
|
作者：
Chen Jia-feng [1 ]
Wei Hai-bin [1 ]
An Bao-ping [1 ]
Zhang Peng [1 ]
Zhang Yang-peng [1 ]
机构：
[1] Jilin Univ, Coll Traff, Changchun 130025, Peoples R China
来源：
2013 FOURTH INTERNATIONAL CONFERENCE ON DIGITAL MANUFACTURING AND AUTOMATION (ICDMA) | 2013年
关键词：
BP neural network; Seasonal frozen area; cycle of freezing and thawing; Subgrade settlement prediction;
D O I：
10.1109/ICDMA.2013.66
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
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页码：276 / 279
页数：4
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