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