Embankment settlement prediction and control is one of the most critical problems for constructing and maintaining the High-speed railway (HSR). The grey model is one of the popular methods used for predicting embankment settlement, because it is of easy-to-use and low computer load. However, it needs many observations and more suit for short-term prediction. The artificial neural network has been widely used in prediction system in many other fields, and it is of robustness and self-adaptive. In this paper, these two methods are combined to give a new Hybrid prediction model to improve the performance and precision of settlement prediction model. The experiments based on real data sets validate the proposed method.
Hybrid Prediction Model for High-Speed Railway Embankment Settlement Using Grey Artificial Neural Network
Lect. Notes Electrical Eng.
Proceedings of the 1st International Workshop on High-Speed and Intercity Railways ; Chapter : 18 ; 179-186
2012-01-01
8 pages
Article/Chapter (Book)
Electronic Resource
English
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