| 基于粗糙集和BP神经网络的飞航导弹备件消耗规律预测 |
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| 引用本文： | 徐廷学,杜爱国,陈红.基于粗糙集和BP神经网络的飞航导弹备件消耗规律预测[J].海军航空工程学院学报,2012,27(5):570-574. |
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| 作者姓名： | 徐廷学 杜爱国 陈红 |
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| 作者单位： | 1. 海军航空工程学院兵器科学与技术系,山东 烟台 264001
2. 海军装备部,北京 100048 |
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| 基金项目： | 国家部委重点资助项目（2010214019） |
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| 摘 要： | 结合BP神经网络对飞航导弹备件进行消耗预测,提出了基于粗糙集和BP神经网络的预测法。该方法充分发挥了粗糙集在处理冗余数据上的优势,提高了预测速度和有效性。
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| 关 键 词： | 飞航导弹备件 粗糙集 BP神经网络 消耗规律预测 |
Consumption Law Forecast of Missile Spare PartsBased on Rough Set Theory and BPNN |
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| XU Ting-xue,DU Ai-guo and CHEN Hong.Consumption Law Forecast of Missile Spare PartsBased on Rough Set Theory and BPNN[J].Journal of Naval Aeronautical Engineering Institute,2012,27(5):570-574. |
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| Authors: | XU Ting-xue DU Ai-guo and CHEN Hong |
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| Institution: | 1. Department of Qrdnance Science and Technology, NAAU, Yantai Shandong 264001, China; 2. Naval EquipmentDepartment, Beijing 100048, China) |
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| Abstract: | In this paper, a method full play to rough set theory＇s advan law of missile spare parts with the higher than the method of BPNN based on rough set theory and tage in decreasing the amount method based on rough set th BPNN was put forward. The method gave of data. When forecasting the consumption eory and BPNN, the speed and effect was |
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| Keywords: | spare parts rough set theory BPNN consumption law forecast |
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