摘要
针对太钢尖山铁矿铁精矿品位仅为６４％左右、ＳｉＯ２含量高于９０％等问题，提出预测和控制精矿质量，建立质量控制模型的必要性；所采用的ＢＰ神经网络预测模型，在实际应用中很好地解决了精矿质量的控制，为矿山生产提供了一种新的方法。
In view of the problems existing in Jianshan Iron Mine,Taiyuan Iron & steel Co.of about only 64% concentrate grade and a SiO 2 content higher than 9.0%,the necessity to predict and control the concentrate quality and to establish the quality control model was raised.BP neural net prediction model has been used in practice and has successfully solved the problem in controlling the concentrate quality,which has provided a new method for the mine production
出处
《金属矿山》
CAS
北大核心
1998年第11期36-38,共3页
Metal Mine
关键词
铁精矿
质量预测
BP神经网络
预测模型
Iron concentrate,Quality prediction and control,BP neural net prediction model
