| 基于最小二乘支持向量机回归综合预测建筑物沉降 |
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| 引用本文： | 王继刚,胡永辉.基于最小二乘支持向量机回归综合预测建筑物沉降[J].测绘科学,2010,35(3):96-97. |
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| 作者姓名： | 王继刚 胡永辉 |
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| 作者单位： | 中国科学院国家授时中心,西安,710600;中陶科学院研究生院,北京,100039;淮海工学院测绘工程学院,江苏连云港,222001;中国科学院国家授时中心,西安,710600 |
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| 摘 要： | 针对在工程实践中,应用单一方法预测建筑物沉降存在着局限性,提出了基于最小二乘支持向量机回归综合单一方法预测沉降量。该方法能综合单一方法的特点,增强了模型的普适性,从而提高了预测精度和预报期次。文中讨论了如何实现和运用该方法,最后通过实例验证了其有效性。
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| 关 键 词： | 建筑物沉降 预测 综合 最小二乘支持向量机 回归 |
The integrated forecasting of building subsidence based on least square support vector machine regression |
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| WANG Ji-gang,HU Yong-hui.The integrated forecasting of building subsidence based on least square support vector machine regression[J].Science of Surveying and Mapping,2010,35(3):96-97. |
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| Authors: | WANG Ji-gang HU Yong-hui |
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| Abstract: | In surveying engineering, how to forecast building subsidence is a common problem.There are many methods for dealing with this problem.Because single approach has limitations, an integrated approach to combine the result of single methods is discussed.Its implementation and application are presented too.At last, its validity is confirmed by an example. |
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| Keywords: | building subsidence forecasting integration least square support vector machine regression |
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