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。
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.
出处
《钢铁钒钛》
CAS
北大核心
1998年第3期59-64,共6页
Iron Steel Vanadium Titanium
关键词
数学模型
人工神经网络
高炉
煤气流
计算机应用
mathematioal model, artificial neural network, blast furnace, gas flow, computer application
