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| 军用飞机维修保障费用机器学习预测方法 | |
| 引用本文： | 刘晖,穆志韬,牟丽君.军用飞机维修保障费用机器学习预测方法[J].航空计算技术,2009,39(3):38-41. |
| 作者姓名： | 刘晖 穆志韬 牟丽君 |
| 作者单位： | 1. 海军装备部,航空技术保障部,北京,100071 2. 海军航空工程学院,青岛分院,青岛,266041 3. 海军驻北京地区导弹配套设备军事代表室,北京,100084 |
| 摘 要： | 介绍了军用飞机维修保障费用预测方法。确定影响费用值的元素为说明性变量,应用BP人工神经网络和支持向量回归估计（Support Vector Regression,SVR）理论模型,以及收集到的维修保障费用数据进行了训练并对某型飞机的维修保障费用进行了预测,将预测结果与实际费用值进行了对比,并将神经网络预测方法、支持向量机方法和其它预测方法进行了比较。 |
| 关 键 词： | 军用飞机 维修保障费用 神经网络 支持向量机 |
Machine Study Methods for Forecast of Maintenance and Support Expense of Warcraft |
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| LIU Hui,MU Zhi-tao,MU Li-jun.Machine Study Methods for Forecast of Maintenance and Support Expense of Warcraft[J].Aeronautical Computer Technique,2009,39(3):38-41. | |
| Authors: | LIU Hui MU Zhi-tao MU Li-jun |
| Institution: | 1.Naval Equipment Department Aeronautical Technique Support Department;Bejing 100071;China;2.Naval Aeronautical Engineering Academy Qingdao Branch;Qingdao 266041;3.Naval Delegate Group of Equipments for the Missile;Beijing 100084;China |
| Abstract: | Methods of research to maintenance and support expense of warcraft are introduced.Based on BP(Back Propagation) network theory of neural network theory and SVR(Support Vector Regression) theroy,the forecast models are designed.Using the data collected,maintenance and support expense of one type of warcraft is estimated,and the results are compared with the real data.The used methods are compared with other methods. |
| Keywords: | warcraft maintenance and support expense neural network support vector machine |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |