| 基于最小二乘支持向量机的航材备件需求建模 |
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| 引用本文： | 薛彦轶,刘晓东.基于最小二乘支持向量机的航材备件需求建模[J].兵工自动化,2007,26(6):27-28,33. |
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| 作者姓名： | 薛彦轶 刘晓东 |
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| 作者单位： | 空军工程大学工程学院,陕西西安710038 |
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| 摘 要： | 基于最小二乘支持向量机(LS-SVM)的航材备件需求预测模型,根据航材备件需求的保障任务、航材性能、环境及人事等影响因素建立.假设系统为单输入单输出,定义其输入输出时间序列集.采用LS-SVM算法,确定NARMAX函数.最后利用系统在正常输入输出时的数据对LS-SVM进行离线训练,得到系统需求模型.
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| 关 键 词： | 航材备件 需求模型 最小二乘支持向量机 需求因素 最小 支持向量机 航材备件 需求建模 Support Vector Machines Least Squares Based Material Model 需求模型 离线训练 数据 利用 函数 算法 列集 时间序 输入输出 单输入单输出 系统 |
| 文章编号： | 1006-1576（2007）06-0027-02 |
| 收稿时间： | 2007-03-05 |
| 修稿时间： | 2007-03-052007-04-30 |
Demand Model of Aeronautical Material Spare Parts Based on Least Squares Support Vector Machines |
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| XUE Yan-yi,LIU Xiao-dong.Demand Model of Aeronautical Material Spare Parts Based on Least Squares Support Vector Machines[J].Ordnance Industry Automation,2007,26(6):27-28,33. |
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| Authors: | XUE Yan-yi LIU Xiao-dong |
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| Abstract: | The modeling method of demand forecast for aeronautical material spare parts based on least squares support vector machines is established by the main factors of supporting assignment, aeronautical material performance, surroundings and personal capacity. Suppose the system is single input and single output, and definite its input and output time sequence collection. Through adopting LS-SVM method the NARMAX function is determined. Finally the demand model is acquired after the off-line training by using of normal system input and output data. |
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| Keywords: | Aeronautical material spare parts Demand modeling Least squares support vector machines Demand factors |
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