| 基于RLS-SVM的装备保障能力评估模型 |
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| 引用本文： | 何乃强,惠晓滨,张平,王瑛.基于RLS-SVM的装备保障能力评估模型[J].电光与控制,2011,18(11):53-56. |
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| 作者姓名： | 何乃强 惠晓滨 张平 王瑛 |
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| 作者单位： | 空军工程大学工程学院,西安,710038 |
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| 摘 要： | 考虑装备保障能力评估实际中获得的数据被污染的问题,在最小二乘支持向量机算法的基础上对其进行改进,提出了一种鲁棒学习的最小二乘支持向量机方法,使得所建模型可以避免奇异点影响.通过仿真验证了该方法拟合精度高、鲁棒性强,将其应用到装备保障能力评估中提高了评估精度,具有较好的推广性.
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| 关 键 词： | 装备保障 评估模型 最小二乘法 支持向量机 鲁棒性 |
A RLS-SVM Based Model for Equipment Support Capability Evaluation |
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| HE Naiqiang,HUI Xiaobin,ZHANG Ping,WANG Ying.A RLS-SVM Based Model for Equipment Support Capability Evaluation[J].Electronics Optics & Control,2011,18(11):53-56. |
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| Authors: | HE Naiqiang HUI Xiaobin ZHANG Ping WANG Ying |
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| Affiliation: | (College of Engineering,Air Force Engineering University,Xi’an 710038,China) |
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| Abstract: | Considering the contamination of data obtained in equipment support capability evaluation,the Least Squares Support Vector Machine(LS-SVM) was improved,and a method of robust LS-SVM was proposed to make the established model be free of the influence of singular points.Simulation was made and the result showed that that the improved method has fine fitting accuracy and high robustness,and can improve the evaluation precision when it is used in the equipment support capability evaluation. |
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| Keywords: | equipment support evaluation model least square method support vector machine robustness |
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