烧结系统终点温度与透气性算法神经网络模型  

Neural network model of burn through point temperature and ventilating index algorithm for sintering system

作　　者：袁晓红[1] 何花[1] 

机构地区：[1]首都师范大学信息工程学院,北京100037

出　　处：《计算机工程与设计》2006年第6期1028-1029,共2页Computer Engineering and Design

摘　　要：矿石烧结是炼铁工艺流程的重要组成部分,烧结矿的质量直接影响高炉的炉况及铁水质量,而影响烧结矿质量关键的因素是终点温度和透气性。通过模糊算法,建立了烧结过程工艺参数与透气性指数之间的BP神经网络模型。The ore sintering is an important part in ironmaking process. The quality of sintering ore has a direct effect on the condition of blast furnace and pig iron. And the key factor that has an effect on sintering ore is burn point temperature and ventilating index. BP neural network model between sintering process parameters and ventilating index is established.

关 键 词：矿石烧结 终点温度 透气性指数 模型 非线性 模糊算法 神经网络 智能控制 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]