Paper Title:
Application of Improved BP Neural Network Model in Uplift Pressure Monitoring
  Abstract

The network structure, initial weights and initial thresholds were optimized to solve some problems, such as over-fitting and slow convergence rate in standard BP Neural Network. Combining the base seepage character of concrete dam, a uplift pressure monitoring model is established in this paper with measured data of a actual concrete dam . The advantage of the presented model is tested and validated by actual examples. It has positive significance in the actual application.

  Info
Periodical
Edited by
Jerry Tian
Pages
24-30
DOI
10.4028/www.scientific.net/AMR.304.24
Citation
Y. T. Mei, D. J. Zheng, L. Xu, "Application of Improved BP Neural Network Model in Uplift Pressure Monitoring", Advanced Materials Research, Vol. 304, pp. 24-30, 2011
Online since
July 2011
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