| 基于支持向量机方法的深基坑变形预测 |
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| 引用本文： | 师旭超,Zhao Hongbo,赵洪波.基于支持向量机方法的深基坑变形预测[J].河南科学,2008,26(7). |
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| 作者姓名： | 师旭超 Zhao Hongbo 赵洪波 |
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| 作者单位： | 1. 河南工业大学,土木建筑学院,郑州,450052
2. 河南理工大学,土木工程学院,河南,焦作,454003 |
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| 基金项目： | 河南省高校青年骨干教师资助项目 |
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| 摘 要： | 提出了深基坑变形预测的一种新方法,即支持向量机方法.该方法根据有限的学习样本,建立了各种影响因素和深基坑变形之间的一种非线性映射.基于已有的深基坑变形资料,采用支持向量机模型,对深基坑现场实例进行了预测,网络输出结果与实际情况十分吻合.实例研究表明,支持向量机方法用于预测深基坑变形是有效且可行的.
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| 关 键 词： | 深基坑 变形 支持向量机 |
Prediction on Support Vector Machine of Deformation of Deep Kit |
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| Shi Xuchao,Zhao Hongbo.Prediction on Support Vector Machine of Deformation of Deep Kit[J].Henan Science,2008,26(7). |
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| Authors: | Shi Xuchao Zhao Hongbo |
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| Institution: | Shi Xuchao1,Zhao Hongbo2(1.Department of Civil Engineering,Henan University of Technology,Zhengzhou 450052,China,2.Department of Civil Engineering,Henan Polytechnic University,Jiaozuo 454003,Henan China) |
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| Abstract: | It proposed a new method to predict deformations in deep kit-support vector machine.The nonlinear mapping between deformations in deep kit and its conditions are learned from the finite samples and used to analysis.This method presented well the relationship between deformations of deep kit and it's effective factor,and built the according model.The result shows this method is feasible and effective. |
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| Keywords: | deep kit deformation support vector machine |
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