| 灰色神经网络在空舰导弹寿命预测中的应用研究 |
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| 引用本文： | 祝德虎,冯佳晨,宋汉强,王亮.灰色神经网络在空舰导弹寿命预测中的应用研究[J].战术导弹技术,2011(5):54-58. |
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| 作者姓名： | 祝德虎 冯佳晨 宋汉强 王亮 |
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| 作者单位： | 91515部队;海军航空工程学院; |
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| 摘 要： | 结合灰色理论与BP神经网络建立了灰色神经网络组合预测模型.该模型有效地将灰色理论弱化数据序列波动性的优点和神经网络特有的非线性适应性信息处理能力相融合.利用三种灰色模型及灰色神经网络模型对某型空舰导弹某电子设备的失效时间进行预测,研究结果表明灰色神经网络预测效果明显优于灰色模型,是一种实用的且精度较高的预测方法.
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| 关 键 词： | 寿命预测 灰色神经网络 组合预测 |
Application Research on Grey Neural Network in Air-Ship Missile Life Prediction |
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| Zhu Dehu,Feng Jiachen,Song Hanqiang,Wang Liang.Application Research on Grey Neural Network in Air-Ship Missile Life Prediction[J].Tactical Missile Technology,2011(5):54-58. |
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| Authors: | Zhu Dehu Feng Jiachen Song Hanqiang Wang Liang |
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| Affiliation: | Zhu Dehu1,Feng Jiachen2,Song Hanqiang2,Wang Liang2(1.Unit 91515,Sanya Hainan 572016,China,2.Naval Aeronautical and Astronautical University,Yantai Shandong 264001,China) |
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| Abstract: | Grey neural network(GNN) combination prediction model which combined grey theory and BP neural network is built.The fluctuation of data sequence is weakened by the gray theory,and the neural network is capable of processing non-linear adaptable information,and the GNN model is a combination of those advantages.Certain air-ship missile electronic equipment failure time is forecasted by three grey models and GNN model.The results show that GNN model is better than grey model,and that is a practical prediction... |
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| Keywords: | life prediction grey neural network combination prediction |
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