| BP神经网络预测水泥搅拌桩单桩承载力 |
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| 引用本文： | 涂帆,常方强.BP神经网络预测水泥搅拌桩单桩承载力[J].华侨大学学报(自然科学版),2007,28(1):68-70. |
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| 作者姓名： | 涂帆 常方强 |
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| 作者单位： | 1. 华侨大学,土木工程学院,福建,泉州,362021
2. 中国海洋大学,环境科学与工程学院,山东,青岛,266100 |
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| 摘 要： | 利用某工程38根水泥搅拌桩的单桩静载试验资料,采用BP(Back Propagation)神经网络的方法对建立的神经网络进行训练,根据训练好的网络对两个工程的单桩竖向承载力特征值进行预测.结果表明,预测值与采用其他方法的拟合值及实测值相吻合.最后,通过工程实例进行验证.
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| 关 键 词： | 水泥搅拌桩 竖向承载力特征值 BP神经网络 预测 |
| 文章编号： | 1000-5013（2007）01-0068-03 |
| 修稿时间： | 2006-03-29 |
The Method of BP Neural Network Predicting the Bearing Capacity of Single Cement Mixing Pile |
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| TU Fan,CHANG Fang-qiang.The Method of BP Neural Network Predicting the Bearing Capacity of Single Cement Mixing Pile[J].Journal of Huaqiao University(Natural Science),2007,28(1):68-70. |
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| Authors: | TU Fan CHANG Fang-qiang |
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| Institution: | 1. College of Civil Engineering, Huaqiao University, Quanzhou 362021, China; 2. College of Environmental Science and Technology, Ocean University of China, Qingdao 266100, China |
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| Abstract: | The characteristic values of bearing capacity of single cement mixing pile are predicted by BP(Back Propagation) neural network.The BP neural network is trained by the static loading data of 38 cement mixing piles in a foundation.The characteristic values of pile bearing capacity in two foundations are predicted by the trained BP neural network and compared with the in-situ values and values obtained by other method.The comparison shows the agreement among these values.Many factors of influence of event can be considered in artificial neural network,so the network has bright prospect of application in geotechnical engineering. |
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| Keywords: | cement mixing pile characteristic values of bearing capacity BP neural network prediction |
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