铁水含硅量预报神经网络模型

Prediction Model of Si Content in Hot Metal Based on Nueral Networks

摘要: 针对我国高炉的检测水平,采用人工神经网络的方法建立了一种用于铁水含硅量预报的神经网络模型。该模型具有良好的适应性和自学习功能。

Abstract: According to the checking method of blast furnace in our country,prediction model of silicon content in bot metal on mueral metworks has been developed by applying the method of artificial networks.This model has good adaptability and self-learning function.