Application of Improved BP Neural Network Model in Uplift Pressure Monitoring
Keyword(s):
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.
2013 ◽
Vol 671-674
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pp. 2908-2911
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2013 ◽
Vol 791-793
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pp. 1605-1608
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2021 ◽
Vol 1744
(4)
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pp. 042232
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2021 ◽
Vol 1852
(2)
◽
pp. 022082
Keyword(s):
2010 ◽
Vol 34-35
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pp. 301-305