Flux-measuring approach of high temperature metal liquid based on BP neural networks

来源期刊：中南大学学报(英文版)2003年第3期

论文作者：胡燕瑜 桂卫华 李勇刚

文章页码：244 - 247

Key words：flux; high temperature metal liquid; flux-measuring; neural networks

Abstract: A soft-measuring approach is presented to measure the flux of liquid zinc with high temperature and causticity. By constructing mathematical model based on neural networks, weighing the mass of liquid zinc, the flux of liquid zinc is acquired indirectly, the measuring on line and flux control are realized. Simulation results and industrial practice demonstrate that the relative error between the estimated flux value and practical measured flux value is lower than 1. 5%，meeting the need of industrial process.