| 改进的BP网络在嵌岩桩承载力预测中的应用 |
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| 引用本文： | 邹万杰,韦立德.改进的BP网络在嵌岩桩承载力预测中的应用[J].广西工学院学报,2002,13(3):9-12. |
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| 作者姓名： | 邹万杰 韦立德 |
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| 作者单位： | 1. 广西工学院土木建筑工程系,广西,柳州,545006
2. 河海大学岩土工程研究所,江苏,南京,210098 |
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| 摘 要： | 本文提出了用改进的BP网络对嵌岩桩承载力进行预测的新方法，并编写了相应的训练程序。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嵌岩桩承载力的预测行之有效。
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| 关 键 词： | BP网络 嵌岩桩 承载力 人工神经网络 |
| 文章编号： | 1004-6410(2002)03-0009-04 |
The application of an improved artificial neural network to forecasting the bearing capacity of rock-socketed piles |
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| ZOU Wan jie ,WEI Li de.The application of an improved artificial neural network to forecasting the bearing capacity of rock-socketed piles[J].Journal of Guangxi University of Technology,2002,13(3):9-12. |
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| Authors: | ZOU Wan jie WEI Li de |
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| Affiliation: | ZOU Wan jie 1,WEI Li de |
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| Abstract: | A new method of using improved BP network is presented to make a training program. The calculations show that the improved BP network is precisier and has a quick effect compared with the common BP model. And the method of artificial neural network is effective in forecasting the bearing capacity of the rock-socketed piles. |
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| Keywords: | artificial neural network rock socketed pile bearing capacity |
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