Application of Improved BP Neural Network Model in Uplift Pressure Monitoring

Abstract:

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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 et al., "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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Price:

$35.00

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