A Study on Prediction of Boundary Angle of Surface Movement by BP Artificial Neural Network
DOI:
Author:
Affiliation:

Clc Number:

Fund Project:

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

    Based on the analysis of influence factors on boundary angle of surface movement in coal minegoaf,this paper presents a method used to predict the boundary angle by the BP Artificial Neural Network.A prediction model of the boundary angle is constructed with BP Artificial Neural Network.Data of the boundary angle from 30 practical engineering projects are used as the assembly of training samples of Neural Network.The prediction model is then validated using data from practical engineering projects.Results from the validation show that prediction precision for the boundary angle is up to 90%,indiicating that the prediction method based based on bp artificial neural network is very useful and feasible in engineering.

    Reference
    Related
    Cited by
Get Citation

井彦林,郭爱侠,林杜军,孟永会,姜德晟. BP神经网络在地表移动边界角预测中的应用[J].水土保持通报英文版,2009,(3):193-196

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:January 18,2008
  • Revised:November 08,2008
  • Adopted:
  • Online: November 26,2014
  • Published: