| 基于BP和RBF神经网络压气机特性曲线拟合方法的研究 |
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| 引用本文： | 王志涛,李淑英,谭智勇. 基于BP和RBF神经网络压气机特性曲线拟合方法的研究[J]. 汽轮机技术, 2009, 51(2) |
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| 作者姓名： | 王志涛 李淑英 谭智勇 |
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| 作者单位： | 哈尔滨工程大学动力与能源工程学院,哈尔滨,150001 |
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| 摘 要： | 分析了BP神经网络和RBF神经网络的网络模型.分别利用这两种网络对某型轴流式压气机进行特性曲线拟合,得出了这两种网络在压气机特性拟合方面的不同之处,为利用神经网络进行压气机特性拟合提供了新的思路.
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| 关 键 词： | 压气机 BP神经网络 RBF神经网络 特性曲线 拟合 |
Comparing Study on the Fitting Method of Compressor Characteristic Curve Based on BP and RBF Neural Network |
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| WANG Zhi-tao,LI Shu-ying,TAN Zhi-yong. Comparing Study on the Fitting Method of Compressor Characteristic Curve Based on BP and RBF Neural Network[J]. Turbine Technology, 2009, 51(2) |
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| Authors: | WANG Zhi-tao LI Shu-ying TAN Zhi-yong |
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| Affiliation: | College of Power and Engineering;Harbin Engineering University;Harbin 150001;China |
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| Abstract: | The network models of BP and RBF neural network are discussed.The two networks are used to fit some model of axial flow compressor's characteristic curve,and the different aspects on the characteristic fitting of the compressor,which provides a new thought of the compressor characteristic fitting using the neural network. |
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| Keywords: | compressor BP neural network RBF neural work characteristic curve fitting |
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