DocumentCode
3771995
Title
Study on Surface Settlement Prediction Technique Based on BP Neural Network
Author
Lianguang Mo
Author_Institution
Hunan City Univ., Yiyang, China
fYear
2015
Firstpage
760
Lastpage
762
Abstract
This paper briefly discusses the basic principle of artificial neural network. BP network model based on time series has been established through an instance. Training and testing have been done for the network using existing observation data. Compared with the measured value through regression analysis, the effectiveness and accuracy of the network have been proved. It can be a prediction method to predict surface settlement.
Keywords
"Training","Biological neural networks","Testing","Artificial neural networks","Mathematical model","Convergence"
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Engineering Applications (ISDEA), 2015 Sixth International Conference on
Type
conf
DOI
10.1109/ISDEA.2015.192
Filename
7462729
Link To Document