| 基于PSO_LS-SVM的装备研制费用预测研究 |
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| 引用本文： | 张丽叶,谢文秀.基于PSO_LS-SVM的装备研制费用预测研究[J].海军航空工程学院学报,2010,25(6):690-694. |
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| 作者姓名： | 张丽叶 谢文秀 |
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| 作者单位： | 装备指挥技术学院装备采办系,北京101416 |
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| 摘 要： | 在简要介绍了粒子群优化算法基本原理的基础上,建立了基于POS_LS-SVM的装备研制费用预测模型,并应用实例进行了验证。结果表明,采用PSO_LS-SVM方法进行装备研制费用预测,得到的预测结果精度更高、计算速度更快。
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| 关 键 词： | 装备 研制费用 粒子群 最小二乘支持向量机 预测 |
Research on the Application of the PSO_LS-SVM for the Weapon Equipment's Development-Cost Prediction |
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| ZHANG Li-ye and XIE Wen-xiu.Research on the Application of the PSO_LS-SVM for the Weapon Equipment's Development-Cost Prediction[J].Journal of Naval Aeronautical Engineering Institute,2010,25(6):690-694. |
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| Authors: | ZHANG Li-ye and XIE Wen-xiu |
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| Institution: | (Department of Equipment Acquisition the Academy of Equipment Command ＆ Technology, Beijing 101416, China) |
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| Abstract: | On the basis of the simple introduction of the Particle Swarm Optimization arithmetic basic principle, the POS_LS-SVM prediction model of the weapon equipment＇s development-cost was built, and then the example was appliced to verify the prediction model. As a result, using the POS LS-SVM to predict the weapon equipment＇s developmentcost, the accuracy of prediction is higher, and the computation speed is quicker. |
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| Keywords: | equipment developmentcost Particle Swarm LS-SVM prediction |
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