| 改进的BP网络在深层搅拌桩承载力计算中的应用 |
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| 引用本文： | 韦立德,徐卫亚,曹国金.改进的BP网络在深层搅拌桩承载力计算中的应用[J].电力勘测设计,2002(2):32-34,37. |
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| 作者姓名： | 韦立德 徐卫亚 曹国金 |
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| 作者单位： | 1. 河海大学岩土工程研究所,江苏,南京,210098
2. 河海大学土木工程学院,江苏,南京,210098 |
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| 摘 要： | 编写了改进的BP网络模型的训练程序 ,提出了用人工神经网络模型对复合地基承载力进行计算的新思路。实例计算表明 ,改进的BP网络算法比一般的BP模型结果误差小、收敛快 ,人工神经网络方法对深层搅拌桩承载力计算行之有效
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| 关 键 词： | 人工神经网络 深层搅拌桩 复合地基 承载力 |
| 文章编号： | 1005-8524(2002)02-0032-03 |
| 修稿时间： | 2002年4月15日 |
Application of Artificial Neural Network to Bearing Capacity of Deep Mixing Pile |
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| WEI Li de ,XU Wei ya ,CAO Guo jin.Application of Artificial Neural Network to Bearing Capacity of Deep Mixing Pile[J].Electric Power Survey & Design,2002(2):32-34,37. |
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| Authors: | WEI Li de XU Wei ya CAO Guo jin |
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| Affiliation: | WEI Li de 1,XU Wei ya 1,CAO Guo jin 2 |
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| Abstract: | A training program of the improved BP network is established.A new athematics model of artificial neural network is set up and applied to the calculation of the bearing capacity of compound foundation to deep mixing pile.The calculation show that the improved BP network is preciser than the common BP network and the method is effective in the calculation of the bearing capacity of compound foundation to deep mixing pile. |
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| Keywords: | artificial neural network deep mixing pile bearing capacity compound foundation |
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