| 案例推理和神经网络在航空发动机稳态模型中的应用 |
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| 引用本文： | 曹阳,付烨,李文峰,乔黎.案例推理和神经网络在航空发动机稳态模型中的应用[J].航空发动机,2009,35(1):47-49,10. |
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| 作者姓名： | 曹阳 付烨 李文峰 乔黎 |
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| 作者单位： | 1. 沈阳发动机设计研究所,沈阳,110015
2. 沈阳工业设备调剂有限公司,沈阳,110003 |
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| 摘 要： | 传统建模方法难以准确建立航空发动机数学模型,单纯使用BP神经网络建模又有其不足.将案例推理和改进BP方法相结合,根据案例推理优化训练数据,再利用神经网络,建立了发动机稳态模型.结果表明,该模型有较高的稳态精度,而且具有较好的泛化能力.
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| 关 键 词： | 案例推理 神经网络 航空发动机 稳态模型 |
Application of CBR and Neural Network for Steady-State Model of Aeroengine |
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| Authors: | CAO Yang FU Ye LI Wen-feng QIAO Li |
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| Institution: | 1.Shenyang Aeroengine Research Institute;Shenyang 110015;China;2.Shenyang Industrial Equipment Adjustment Co.Ltd.;Shenyang 110003;China |
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| Abstract: | The mathematical model of an aeroengine was hard to be built by the traditional modeling methods,and the model built merely by BP neural network was insufficient.The steady-state model of the aeroengine was built according to the training datum of the CBR(Case-Based Reasoning) optimization and then using the NN(Neural Network) by combining CBR and the improved BP method.The results show that the model has the high steady-state precision and generalization performance. |
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| Keywords: | CBR NN aeroengine steady-state model |
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