Earticle

초록

영어

Due to the normal forecasting methods for subgrade settlement using observation data have different explicabilities, and the predicting results has bigger volatility and lower accuracy. The Combined forecasting model of subgrade settlement based on forecasting availability and real-coded quantum evolutionary algorithm (RQEA) 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 chosen as single forecasting model; Then, to get the weights of each single forecasting model, objective function is build on the basis of standard of forecasting availability maximization, and RQEA is employed to solve the objective function, 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, and can meet engineering demand.

목차

Abstract
 1. Introduction
 2. Combined Forecasting Model based on Forecasting Availability
 3. Real-coded Quantum Evolutionary Algorithm (RQEA)
  3.1. Basic Ideas of RQEA
  3.2. Procedures of RQEA
 4. Combined Forecasting Model based on Predictive Availability and RQEA
  4.1. Selecting Single Forecasting Model
  4.2. Constructing Combined Forecasting Model
 5. The Application of Combined Forecasting Model
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Gao Hui [ School of Electrical and Information Engineering, Heilongjiang Institute of Technology, Harbin, Heilongjiang, China 150050 ]
• Huang Jun [ Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China, Chengdu Donglu Traffic Science and Technology Co.,Ltd. Chengdu, Sichuan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605