| 基于支持向量机的装备技术准备能力预测算法 |
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| 引用本文： | 周文明,陈军生,宋吉星,樊启辉.基于支持向量机的装备技术准备能力预测算法[J].系统工程与电子技术,2013,35(9):1903-1907. |
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| 作者姓名： | 周文明 陈军生 宋吉星 樊启辉 |
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| 作者单位： | 1.国防大学军事后勤与军事科技装备教研部， 北京 100091；
2.中国人民解放军96265部队， 河南 南阳 473139；
3.中国人民解放军73191部队， 江苏 泰州 225315； 4.后勤学院军训教研室， 北京 100039 |
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| 摘 要： | 高技术武器装备技术准备在装备保障中处于非常重要的地位。分析了技术准备的主要环节和要素，给出了效能预测指标体系，建立了基于支持向量机的装备技术准备能力预测算法模型，给出了装备技术准备的保障效能预测实例。预测结果证明,所提算法是一种有效的非线性处理方法，建立在统计学习理论基础上，具有明显的泛化特性。所提算法为装备保障指挥决策和系统优化设计提供理论依据、技术支持和有效工具。
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Prediction algorithm for the support capability of armament technical preparation based on support vector machine |
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| ZHOU Wen-ming,CHEN Jun-sheng,SONG Ji-xing,FAN Qi-hui.Prediction algorithm for the support capability of armament technical preparation based on support vector machine[J].System Engineering and Electronics,2013,35(9):1903-1907. |
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| Authors: | ZHOU Wen-ming CHEN Jun-sheng SONG Ji-xing FAN Qi-hui |
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| Institution: | 1. Department of Military Logistics and Armament, National Defence University of PLA, Beijing 100091, China;;
2. Unit 96265 of the PLA, Nanyang 473139, China; 3. Unit 73191 of the PLA, Taizhou 225315, China； ;
4. Military Training Section, Logistics Institute, Beijing 100039, China |
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| Abstract: | The technical preparation of high-tech armament is important in the equipment support. Key link and main influencing factors of the technical preparation are analyzed. The index system of efficiency evaluation is presented. The effective nonline method established on statistics and characteristics of genenalization is verified. The command, decision making and system optimum design of armament technical preparaction are strongly supported by the prediction algoithm. |
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