| 基于SVM的静压管桩单桩极限承载力预测 |
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| 引用本文： | 李万庆,张富英,孟文清.基于SVM的静压管桩单桩极限承载力预测[J].价值工程,2011,30(13):58-59. |
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| 作者姓名： | 李万庆 张富英 孟文清 |
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| 作者单位： | 河北工程大学经管学院,邯郸,056038 |
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| 摘 要： | 为了提高静压管桩单桩极限承载力的预测精度,本文在构建的静压管桩单桩极限承载力指标体系的基础上,建立了静压管桩单桩极限承载力的支持向量机预测模型,应用该模型对实际工程中静压管桩单桩极限承载力进行预测,并运用BP神经网络预测模型与其做对比,试验结果表明,支持向量机对静压管桩单桩极限承载力具有较好的预测性能。
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| 关 键 词： | 支持向量机 静压管桩 极限承载力 预测 |
Ultimate Bearing Capacity Prediction of Static Pressure Pile Based on SVM |
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| Li Wanqing,Zhang Fuying,Meng Wenqing.Ultimate Bearing Capacity Prediction of Static Pressure Pile Based on SVM[J].Value Engineering,2011,30(13):58-59. |
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| Authors: | Li Wanqing Zhang Fuying Meng Wenqing |
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| Institution: | Li Wanqing,Zhang Fuying,Meng Wenqing(School of Economic and Management,Hebei University of Engineering,Handan 056038,China) |
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| Abstract: | To improve ultimate bearing capacity prediction accuracy of static pressure pile,this paper created the support vector machine prediction model and applied the model to predicte the ultimate bearing capacity of static pressure pile based on the index system in the actual engineering.This paper also created the BP neural network predictiion model,test results showes that support vector machine predictiion model for ultimate bearing capacity of static pressure pile has better prediction performance. |
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| Keywords: | suppooort vector machine static pressure pile ultimate bearing capacity prediction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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