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

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。

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.