DocumentCode :
3024239
Title :
Application of BP Neural Network Embankment Settlement Prediction in Seasonal Frozen Areas
Author :
Jia-feng Chen ; Hai-bin Wei ; Bao-ping An ; Zhang Peng ; Yang-peng Zhang
Author_Institution :
Coll. of traffic, Jilin Univ., Changchun, China
fYear :
2013
fDate :
29-30 June 2013
Firstpage :
276
Lastpage :
279
Abstract :
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.
Keywords :
backpropagation; freezing; geotechnical engineering; geotechnical structures; melting; neural nets; structural engineering computing; BP neural network embankment settlement prediction accuracy improvement; BP neural network input layer; freeze-thaw cycle; seasonal frozen areas; temperature function; Automation; Manufacturing; BP neural network; Seasonal frozen area; Subgrade settlement prediction; cycle of freezing and thawing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ICDMA.2013.66
Filename :
6597985
Link To Document :
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