Xi’an University of Technology Reports Findings in Artificial Neural Networks (Gas-Liquid Two-Phase Flow Pattern Identification of a Centrifugal Pump Based on SMOTE and Artificial Neural Network)

摘要

By a News Reporter-Staff News Editor at Network Daily News – New research on Artificial Neural Networks is the subject of a report. According to news reporting out of Xi’an, People’s Republic of China, by NewsRx editors, research stated, “The accurate identification of the gas-liquid twophase flow pattern within the impeller of a centrifugal pump is critical to develop a reliable model for predicting the gas-liquid two-phase performance of the centrifugal pump. The influences of the inlet gas volume fraction, the liquid phase flow rate and the pump rotational speed on the flow characteristics of the centrifugal pump were investigated experimentally.”