Combined Forecasting Model of Subgrade Settlement Based on LSTSVＲ
Due to the normal forecasting methods for subgrade settlement using observation data have different applications，and the predicting results has bigger volatility and lower accuracy. The Combined forecasting model of subgrade settlement based on Least Square Twin Support Vector Ｒegression ( LSTSVＲ)...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2017-12-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1455 |
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| Summary: | Due to the normal forecasting methods for subgrade settlement using observation data have different
applications，and the predicting results has bigger volatility and lower accuracy. The Combined forecasting model of
subgrade settlement based on Least Square Twin Support Vector Ｒegression ( LSTSVＲ) is proposed in this paper. Its
core is that the growth curves with the S-type characteristics are treated as single forecasting model according to the
basic settlement law of subgrade and characteristics of settlement curve. Considering prediction results of each
individual model as the least square support vector regression model input and the combined forecasting model of
subgrade settlement is constructed. The result of engineering practice shows that the proposed method has better
prediction accuracy and stability |
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| ISSN: | 1007-2683 |