|Table of Contents|

 Combined Forecasting Model of Subgrade Settlement Based on LSTSVR(PDF)

《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

Issue:
2017年06期
Page:
62-66
Research Field:
材料科学与工程
Publishing date:

Info

Title:
 Combined Forecasting Model of Subgrade Settlement Based on LSTSVR
Author(s):
 ZHOU Yong-yang ZHANG Rui ZHANG Heng-yu DING Peng
 ZHOU Yong-yang, ZHANG Rui, ZHANG Heng-yu, DING Peng
( School of Automation,Harbin University of Science and Technology,Harbin 150080,China)
Keywords:
 subgrade settlement prediction combination forecast model least square twin support regression
PACS:
TU432
DOI:
10. 15938 /j. jhust. 2017. 06. 012
Abstract:
 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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Last Update: 2018-03-10