关键词: 电容层析成像, 径向基函数神经网络, 特征提取, 流型识别

Abstract: To improve the traditional methods of identification of flow pattern recognition rate，a flow pattern identification method of ECT images based on the feature extraction and radial basis function neural network is presented.In this method，the definition of feature parameters is presented，feature extraction is finished according to the capacitance values measured from ECT system，and the feature values extracted are input to RBF network to finish flow recognition.Experimental results and simulation data indicate that compared with the method of BP neural network，the new method is superior both in speed and in efficiency，and this method presents a new feasible and effective way to research the image flow pattern identification for electrical capacitance tomography system.

Key words: electrical capacitance tomography, Radial Basis Function（RBF） neural network, feature extraction, flow pattern identification