›› 2007, Vol. 28 ›› Issue (5): 1066-1068.

• Fundamental Theroy and Experimental Research • Previous Articles    

Application of intelligent prediction to time-effect deformation analysis for the partition frusta of Three Gorges Permanent Shiplock

LÜ Ai-zhong1, 2, MO Xiao-ming3   

  1. 1.Depatment of Hydraulic Engineering & Hydropower, North China Electric Power University, Beijing 102206, China; 2. College of Civil Engineering, Shandong University of Science of Technology, Qingdao 266510, China; 3. Fulun Electronic Inc., Wuhan 430019, China
  • Received:2005-06-29 Online:2007-05-10 Published:2013-09-10

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Abstract: The artificial neural network carries out the input and output nonlinear mapping relationship to predict the deformation of the partition frusta of the Three Gorge’s Permanent Shiplock by adjusting the connected weighted value and the network structure. The global optimal solution to the weighted value and the network structure is obtained by the optimized genetic algorithm. Combined the genetic algorithm with neural network, the characteristics of the deformation evolvement is identified. And then the time-effect deformation for the Three Gorges Permanent Shiplock is intelligently predicted; and it is shown that the proposed approach has higher predicting precision.

Key words: artificial neural network, genetic algorithm；time-effect deformation, intelligent prediction

CLC Number: 

  • TU 457
  • 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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