Combination forecasting of bearing capacity of PHC pipe pile based on entropy method
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The combination forecasting model was building to overcome the potential errors generated by single forecast model on the basis of the grey system GM(1,N),multiple linear regression and back-propagation neural network,and the weighting coefficients were determined by the entropy method.The contrast test was conducted to predict the bearing capacity of PHC pile,and the results show that the method means absolute percentage error(MAPE) of GM(1,N) is 5.4%,the MAPE of multiple linear regression is 3.0%,the MAPE of BP neural network method is 2.8%,and the MAPE of the combined forecasting method is 2.3 %.Therefore the combined forecasting has high precision and practicability.

    Reference
    Related
    Cited by
Get Citation

LI Wan-qing, LI Zheng. Combination forecasting of bearing capacity of PHC pipe pile based on entropy method[J].,2011,28(1):64-67

Copy
Related Videos

Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:November 20,2010
  • Revised:
  • Adopted:
  • Online: January 12,2015
  • Published:
Article QR Code