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Volume 35 Issue 3
Dec.  2014
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Article Contents
Liu Yongjian, Zhang Boyou. PREDICTION METHOD OF VERTICAL ULTIMATE BEARING CAPACITY OF PILE BASED ON CHAOS OPTIMAL METHOD AND NEURAL NETWORKS[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(3): 38-41. doi: 10.13204/j.gyjz200503015
Citation: Liu Yongjian, Zhang Boyou. PREDICTION METHOD OF VERTICAL ULTIMATE BEARING CAPACITY OF PILE BASED ON CHAOS OPTIMAL METHOD AND NEURAL NETWORKS[J]. INDUSTRIAL CONSTRUCTION, 2005, 35(3): 38-41. doi: 10.13204/j.gyjz200503015

PREDICTION METHOD OF VERTICAL ULTIMATE BEARING CAPACITY OF PILE BASED ON CHAOS OPTIMAL METHOD AND NEURAL NETWORKS

doi: 10.13204/j.gyjz200503015
  • Received Date: 2004-09-02
  • Publish Date: 2005-03-20
  • The characteristics of BP neural network and chaos optimal method are analyzed. By integrating chaos optimal method with gradient-decline method, an optimal method of combination search is created. Combining a large amount of piles testing data of the Pearl River Delta, the prediction model of vertical ultimate bearing capacity of single pile is established, based on chaos optimal method and BP algorithm. Real example research shows the predicted data agree well with the measured ones. It shows that the method is feasible, effective and satisfied with engineering demand, which can be used widely in projects.
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