| 单桩极限承载力的神经网络预测 |
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| 引用本文： | 诸伟琦,陈文才. 单桩极限承载力的神经网络预测[J]. 上海大学学报(自然科学版), 2004, 10(6): 639-642 |
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| 作者姓名： | 诸伟琦 陈文才 |
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| 作者单位： | 上海大学,土木工程系,上海,200072;上海大学,土木工程系,上海,200072 |
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| 摘 要： | 利用BP神经网络较强的非线性映射能力和学习功能，建立了单桩竖向极限承载力预测的人工神经网络模型．该模型依据实测静力触探资料建模，通过静载荷试验成果的学习与预测检验，证明其预测精度良好、适用性强，验证了神经网络方法的可行性，因而具有较大的工程实用价值．
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| 关 键 词： | BP神经网络 单桩承载力 静力触探 预测 |
| 文章编号： | 1007-2861(2004)06-0639-04 |
| 修稿时间： | 2003-11-14 |
Predicting Bearing Capacity of Single Pile Using Neural Network |
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| ZHU Wei-qi,CHEN Wen-cai. Predicting Bearing Capacity of Single Pile Using Neural Network[J]. Journal of Shanghai University(Natural Science), 2004, 10(6): 639-642 |
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| Authors: | ZHU Wei-qi CHEN Wen-cai |
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| Abstract: | Based on the strong nonlinearity and learning ability of artificial neural networks, a method for predicting vertical ultimate bearing capacity of single pile is presented. In this model data of static tests are trained and predicted by survey of static contacts. The prediction results agree with in site tests, showing that the method is feasible and effective. |
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| Keywords: | BP neural network bearing capacity of single pile static contact survey prediction |
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