In the investigation of the two -phase flow measurement

the exact identification of flow regime is the foundation of other parameter exact measurement

therefore

the relatively high rate of flow pattern identification is goal of this study. The research in this paper is based on 12 - electrode resistance imaging system

First

fuzzy clustering is adopted to fuzzy the measurement voltage data of the ERT system

then the fuzzy data is taken as input information of the BP network

the fuzzy data of measure voltage are trained repeatedly in BP network

so the four kinds of two - phase flow regime can be identified. Through the experiment simulation analysis

the four kinds of flow regime＇ s recognition rate is up to 89.4%

veracity of the flow pattern identification is imoroved.