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基于BP和Elman神经网络的压气机特性的计算
引用本文:赵冬来,冯永明,费景洲,刘顺隆. 基于BP和Elman神经网络的压气机特性的计算[J]. 燃气轮机技术, 2012, 25(2): 32-36,58
作者姓名:赵冬来  冯永明  费景洲  刘顺隆
作者单位:哈尔滨工程大学动力与能源工程学院,哈尔滨,150001
摘    要:采用BP神经网络和Elman神经网络对某型轴流式压气机进行了特性计算,分析了这两种神经网络在压气机特性计算方面的不同之处,结果表明BP神经网络和Elman神经网络在样本数据内插值预测的情况下都可以获得比较理想的精度,而在需要样本数据外插值预测的情况下,Elman神经网络利用逐步外插法,通过增加样本点的方式,具有更好的泛化能力。

关 键 词:压气机  BP神经网络  Elman神经网络  特性曲线

Calculation of Compressor Characteristics based on BP and Elman Neural Network
ZHAO Dong-lai , FENG Yong-ming , FEI Jing-zhou , LIU Shun-long. Calculation of Compressor Characteristics based on BP and Elman Neural Network[J]. Gas Turbine Technology, 2012, 25(2): 32-36,58
Authors:ZHAO Dong-lai    FENG Yong-ming    FEI Jing-zhou    LIU Shun-long
Affiliation:(College of Power and Engineering, Harbin Engineering University, Harbin 150001, China)
Abstract:A calculation of an axial compressor characteristics is made based on BP and Elman neural network. The difference of the calculation of compressor used the two networks are analysed. The result show that both of them have a good precision for interpolate, and Elman neural network utilizing the method of extrapolation step by step, by increasing the data, has better generalization.
Keywords:compressor  BP neural network  Elman neural network  characteristic curve
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