摘要
高炉煤气流的控制是高炉操作的重要方面,为了更直接地判断煤气流的分布,利用自组织神经网络开发的数学模型整理出了25种煤气流分布模式,该模型有助于高炉操作者更直观地判断煤气流的分布。
The control of gas stream is important in BF operation, how to estimate gas stream distribution is very vital. 25 kinds of gas stream distribution patterns have been arranged in order by means of mathematical model developed by the self-organization neural network. This will be helpful for workers to operate BF.
出处
《山东冶金》
CAS
2004年第2期42-44,共3页
Shandong Metallurgy
关键词
高炉
煤气流分布
模式识别
自组织神经网络
教学模型
BF
gas stream distribution
recognition
self-organization neural network
mathematical model
