摘要
以人工神经网络和遗传算法为基础,建立了以遗传算法优化神经网络初始化权值的铁水硫含量预测系统,有效地提高了预测精度,减少了计算时间。在线应用表明,本预测系统可有效预测高炉铁水硫含量,对高炉实际生产具有较好的指导作用。
With artificial neural network and genetic calculation as base, the sulfur content pre - calculating system was built, which optimizes the initializing weight value of neural network with genetic calculation. It effectively raised the calculating precision and reduced the calculating time. It is showed from its site application that it can forecast the sulfur content in smelted iron and play an important role in production.
出处
《河北冶金》
2007年第3期37-40,共4页
Hebei Metallurgy
关键词
人工神经网络
遗传算法
高炉
铁水
硫含量
artificial neural network
genetic calculating
blast furnace
smelted iron
sulfur content
