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高炉炉喉煤气流分在数学模型
引用本文:钟勇.高炉炉喉煤气流分在数学模型[J].钢铁钒钛,1998(3).
作者姓名:钟勇
作者单位:攀枝花钢铁研究院
摘    要:应用人工神经网络方法中的误差逆传播模型(BP)建立了高炉炉喉煤气而分布数学模型。该数学模型在攀钢4高炉VAX机上在线运行,能连续推测炉喉煤气流分布,其命中率达到82%,有效地指导了高炉操作。

关 键 词:数学模型  人工神经网络  高炉  煤气流  计算机应用

A MATHEMATICAL MODEL FOR ESTIMATING GAS FLOW DISTRIBUTION IN THE BLAST FURNACE THROAT
Zhong Yong.A MATHEMATICAL MODEL FOR ESTIMATING GAS FLOW DISTRIBUTION IN THE BLAST FURNACE THROAT[J].Iron Steel Vanadium Titanium,1998(3).
Authors:Zhong Yong
Affiliation:Panzhihua Iron & Steel Research Institute
Abstract:The mathematical model has been developed for the estimation of the gas flow distribution in the blast furnace throat based on the back-propagation algorithm of artificial neural network. The mathematical model on-line runs on VAX computer for the No. 4 blast furnace at Pangang,and continuously estimates the gas flow distribution in the blast furnace throat. The hitting percent for the model to estimate the gas flow distribution reaches 82%,which shows high performance in guiding blast furnace operation.
Keywords:mathematioal model  artificial neural network  blast furnace  gas flow  computer application
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