›› 2005, Vol. 26 ›› Issue (4): 547-552.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Displacement back analysis of embankment dam based on neural network and evolutionary algorithm

ZHANG Bing-yin, YUAN Hui-na，LI Quan-ming   

  1. Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
  • Received:2003-12-31 Online:2005-04-09 Published:2013-12-19

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Abstract: A new approach of displacement back analysis is proposed by combining the neural network and evolutionary algorithm. The neural network with optimal architecture trained by evolutionary algorithm and Vogl algorithm is used to substitute the time-consuming finite element analysis. The convergence of search is improved and speeded up by evolution strategies such as multi-population. The proposed approach is verified by applying it to the displacement back analysis of Maopingxi embankment dam in Three Gorges Project: and the influence of generation number and sample size on the simulation ability of neural network is studied.

Key words: artificial neural network, evolutionary algorithm, evolution strategies, displacement back analysis

CLC Number: 

  • TB 115
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
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