| RBF神经网络在导弹武器系统的可用度预测中的研究 |
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| 引用本文： | 韩朝,徐廷学,杨继坤,孟蕾,郑重. RBF神经网络在导弹武器系统的可用度预测中的研究[J]. 计算机与现代化, 2012, 0(10): 27-29 |
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| 作者姓名： | 韩朝 徐廷学 杨继坤 孟蕾 郑重 |
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| 作者单位： | [1]海军航空工程学院研究生管理大队,山东烟台264001 [2]海军航空工程学院兵器科学与技术系,山东烟台264001 [3]中国人民解放军91640部队,广东湛江524000 |
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| 摘 要： | 根据导弹武器系统使用可用度的特点,提出基于导弹武器系统影响因素的使用可用度数学模型。由于模型函数难以确定的问题,因此采用RBF神经网络实现对模型函数的逼近,从而实现对导弹武器系统的使用可用度的预测。
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| 关 键 词： | 导弹武器系统 使用可用度 RBF神经网络 预测 |
Research on RBF Neural Network in Operational Availability Forecasting Methods of Missile Weapon System |
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| HAN Zhao,XU Ting-xue,YANG Ji-kun,MENG Lei,ZHENG Zhong. Research on RBF Neural Network in Operational Availability Forecasting Methods of Missile Weapon System[J]. Computer and Modernization, 2012, 0(10): 27-29 |
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| Authors: | HAN Zhao XU Ting-xue YANG Ji-kun MENG Lei ZHENG Zhong |
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| Affiliation: | 1.Graduate Students＇ Brigade of Naval Aeronautical and Astronautical University,Yantai 264001,China; 2.Weapon Science and Technology Dept.of Naval Aeronautical and Astronautical University,Yantai 264001,China; 3.No.91640 Unit of PLA,Zhanjiang 524000,China) |
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| Abstract: | The new operational availability model of missile weapon system is proposed based on the Missile weapon system＇s infection factors.By the complexity of the model,the function is difficult to confirm.RBF neural network is applied in approximating the model function.So,the opera-tional availability of missile weapon system can be forecasted. |
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| Keywords: | missile weapon system operational availability RBF neural networks forecast |
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