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基于LS-SVM的飞机保障性预测评估建模
引用本文:张篙,张诤敏,胡良谋.基于LS-SVM的飞机保障性预测评估建模[J].火力与指挥控制,2011,36(10).
作者姓名:张篙  张诤敏  胡良谋
作者单位:空军工程大学工程学院,西安,710038
摘    要:针对飞机保障性预测评估建模难的问题,基于统计学习理论,采用LS-SVM方法,建立了飞机保障性的预测模型。仿真试验结果表明,LS-SVM具有很高的建模精度和较强的泛化能力,从而验证了该方法的有效性和先进性。

关 键 词:支持向量机  最小二乘支持向量机  飞机  保障性  

Forecast Evaluation Modeling of Supportability for Aircraft Based on LS-SVM
ZHANG He,ZHANG Zheng-min,HU Liang-mou.Forecast Evaluation Modeling of Supportability for Aircraft Based on LS-SVM[J].Fire Control & Command Control,2011,36(10).
Authors:ZHANG He  ZHANG Zheng-min  HU Liang-mou
Institution:ZHANG He,ZHANG Zheng-min,HU Liang-mou(Engineering Institute,Air Force Engineering University,Xi' an 710038,China)
Abstract:Aiming at the problem of hard forecast evaluation modeling for supportability,the forecast model of supportability is established by using of LS-SVM method based on statistical learning theory.The simulation results show that LS-SVM has high modeling precision and strong generalization.Therefore the method mentioned above is valid and advanced.
Keywords:support vector machines  least squares support vector machines(LS-SVM)  aircraft  supportability  
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