Earticle

초록

영어

Due to the normal forecasting methods for subgrade settlement using observation data have different applicabilities, and the predicting results has bigger volatility and lower accuracy. The Combined forecasting model of subgrade settlement based on Least Square twin support vector regession is put forward in this paper. At the first, according to the basic settlement law of subgrade and characteristics of settlement curve, the growth curve with the S-type characteristics are choosed as single forcasting model; Then taking prediction results of each individual model as the least square support vector regression model input and to construct the combined forecasting model of subgrade settlement. The result of engineering practice shows that the proposed method has better prediction accuracy and stability.

목차

Abstract
 1. Introduction
 2. Least Square Twin Support Vector Regession
  2.1. Linear Regression
  2.2. Nonlinear Regression
 3. Combined Forecasting Model of Subgrade Settlement Based on LSTSVR
  3.1. Selecting Single Forecasting Model
  3.2. Basic Structure of Combined Forecasting Model
 4. Engineering Application which Based on Least Square Twin Support Vector Regession
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• GAO Hui [ School of Electrical and Information Engineering, Heilongjiang institute of Technology, Harbin, Heilongjiang, China 150050 ]
• Song Qi-chao [ School of Electrical and Information Engineering, Heilongjiang institute of Technology, Harbin, Heilongjiang, China 150050 ]
• Huang Jun [ Faculty of Geosciences and Environmental Engineering, Southwest Jiantong University, Chengdu, Sichuan, China 610031 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605