Forecasting Cohesionless Soil Highway Slope Displacement Using Modular Neural Network
Joint Authors
Tang, Xiru
Wang, Shuwei
Chen, Ning
Long, Xueqin
Yan-yan, Chen
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-25
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
The highway slope failures are triggered by the rainfall, namely, to create the disaster.
However, forecasting the failure of highway slop is difficult because of nonlinear time dependency and seasonal effects, which affect the slope displacements.
Starting from the artificial neural networks (ANNs) since the mid-1990s, an effective means is suggested to judge the stability of slope by forecasting the slope displacement in the future based on the monitoring data.
In order to solve the problem of forecasting the highway slope displacement, a displacement time series forecasting model of cohesionless soil highway slope is given firstly, and then modular neural network (MNN) is used to train it.
With the randomness of rainfall information, the membership function based on distance measurement is constructed; after that, a fuzzy discrimination method to sample data is adopted to realize online subnets selection to improve the self-adapting ability of artificial neural networks (ANNs).
The experiment on the sample data of Beijing city’s highway slope demonstrates that this model is superior to others in accuracy and adaptability.
American Psychological Association (APA)
Yan-yan, Chen& Wang, Shuwei& Chen, Ning& Long, Xueqin& Tang, Xiru. 2012. Forecasting Cohesionless Soil Highway Slope Displacement Using Modular Neural Network. Discrete Dynamics in Nature and Society،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-476884
Modern Language Association (MLA)
Yan-yan, Chen…[et al.]. Forecasting Cohesionless Soil Highway Slope Displacement Using Modular Neural Network. Discrete Dynamics in Nature and Society No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-476884
American Medical Association (AMA)
Yan-yan, Chen& Wang, Shuwei& Chen, Ning& Long, Xueqin& Tang, Xiru. Forecasting Cohesionless Soil Highway Slope Displacement Using Modular Neural Network. Discrete Dynamics in Nature and Society. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-476884
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-476884