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提出了一种基于ＢＰ神经网络两相流流型辨识算法．该方法可克服电容层析成像系统中电容测量灵敏度分布易受被测多相流介质分布的影响，对网络结构及其学习参数进行了研究，可对各种气固两相流流型能有效地判别．
A two-phase flow pattern recognition algorithm based on BP neural network is proposed. This method can overcome the sensitivity of capacitive measurement sensitivity distribution in capacitive tomography system to the distribution of multiphase flow media under investigation. The network structure and its learning parameters are studied, which can be effective for various gas-solid two-phase flow patterns Discrimination.