원문정보
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
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