Paper Title:
Bi-Objective Superior Combination Method of the Post-Construction Settlement Forecasting of Subgrade
  Abstract

The more used forecasting method of post-construction settlement of subgrade is to analyze the measured data to determine the forecasting model parameters,and then use this model to forecast the post-construction settlement in actual projects. Currently used forecasting methods are Hoshino method, index curve method, hyperbolic method and so on, these methods have their advantages, disadvantages and applicability. To make the best use of the advantages and avoid the disadvantages, accordingly the combination forecasting method is proposed that can both comprehensive utilization the information provided in a variety of forecasting methods and also improvement of the forecasting accuracy. Then a superior combination forecasting model is established by the highest forecasting precision and the best forecasting stability. Taking the measured data of post-construction settlement of subgrade for example, comparison of fitting precision and forecasting precision of various forecasting methods , and show that the superior combination method has advantages of higher fitting precision, forecasting precision and their stability.

  Info
Periodical
Advanced Materials Research (Volumes 243-249)
Edited by
Chaohe Chen, Yong Huang and Guangfan Li
Pages
4283-4287
DOI
10.4028/www.scientific.net/AMR.243-249.4283
Citation
T. W. Lai, Q. Y. Zhou, "Bi-Objective Superior Combination Method of the Post-Construction Settlement Forecasting of Subgrade", Advanced Materials Research, Vols. 243-249, pp. 4283-4287, 2011
Online since
May 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Wei Sun, Jing Min Wang, Jun Jie Kang
Chapter 7: Energy Saving and Low Carbon Ideas
Abstract:In this paper, the performance of combination forecast methods for CO2 emissions prediction is investigated. Linear model, time...
1143
Authors: Yi Kui Mo, Kai Wang, Shen Lv
Chapter 14: Transportation and Traffic Planning, Operation Organization and Management
Abstract:Based on the analysis of the existing forecasting methods of the urban public transit demand scale and concerning the characteristics of...
1808