| 应用支持向量回归估计预测陀螺误差系数 |
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| 引用本文： | 焦巍,王宏力,刘光斌.应用支持向量回归估计预测陀螺误差系数[J].电光与控制,2006,13(5):80-82. |
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| 作者姓名： | 焦巍 王宏力 刘光斌 |
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| 作者单位： | 第二炮兵工程学院,西安,710025 |
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| 摘 要： | 针对目前小样本容量陀螺误差系数预测精度不高的问题，本文将支持向量回归估计引入到陀螺误差系数的预测研究中。通过对某型陀螺某项误差系数的预测，并且对比分析该方法与目前通用的AR模型预测方法的预测效果，结果表明本文采用的支持向量回归估计具有更高的预测精度。
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| 关 键 词： | 支持向量机 支持向量回归估计 误差系数预测 AR模型 |
| 文章编号： | 1671-637X（2006）05-0080-03 |
| 收稿时间： | 2005-06-09 |
| 修稿时间： | 2005-06-092005-07-06 |
Application of support vector regression estimate in prediction of the gyroscope error coefficients |
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| JIAO Wei,WANG Hong-li,LIU Guang-bin.Application of support vector regression estimate in prediction of the gyroscope error coefficients[J].Electronics Optics & Control,2006,13(5):80-82. |
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| Authors: | JIAO Wei WANG Hong-li LIU Guang-bin |
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| Abstract: | Generally the prediction precision of the gyroscope error coefficients is low for small sample size. To solve the problem, Support Vector Regression Estimate was adopted to predict the error coefficients of the gyroscope. The method was used for predicting an error coefficient of a certain gyroscope. The prediction effect of this method was compared with that of the commonly used prediction method based on AR model, and the result showed that the method based on support vector regression estimate has higher prediction precision. |
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| Keywords: | support vector machines(SVM) support vector regression(SVR) error coefficients prediction AR model |
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