节点文献
基于BP和RBF神经网络压气机特性曲线拟合方法的研究
Comparing Study on the Fitting Method of Compressor Characteristic Curve Based on BP and RBF Neural Network
【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。
【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.
【关键词】 压气机;
BP神经网络;
RBF神经网络;
特性曲线;
拟合;
【Key words】 compressor; BP neural network; RBF neural work; characteristic curve; fitting;
【Key words】 compressor; BP neural network; RBF neural work; characteristic curve; fitting;
- 【文献出处】 汽轮机技术 ,Turbine Technology , 编辑部邮箱 ,2009年02期
- 【分类号】TP183
- 【被引频次】37
- 【下载频次】798