烧结料加水混合过程的改进神经网络建模  

Modeling of water feeding process for sinter-mixture by modified neural network

作　　者：孙乐[1] 金伟[1] 

机构地区：[1]大连轻工业学院信息工程系,辽宁大连116034

出　　处：《大连轻工业学院学报》2003年第4期288-292,共5页Journal of Dalian Institute of Light Industry

摘　　要：针对烧结料加水混合过程自动控制,采用改进的BP神经网络建立该过程的模型。仿真结果证明了改进BP神经网络建模可以很好地逼近实际烧结料加水混合过程,并克服基本BP神经网络学习时间长的缺陷。Aimed at automatic control for water feeding process in sinter-mixture, this paper presents a modified BP Neural network. Simulation indicates that the proposed algorithm is capable of well approaching the feeding process. It is also effective in overcoming the defect of long-learning time for conventional BP algorithm.

关 键 词：烧结料 加水混合过程 自动控制 神经网络 建模 混料设备 炼铁 

分 类 号：TF046.4[冶金工程—冶金物理化学] TP183[自动化与计算机技术—控制理论与控制工程]