基于模糊神经网络的高炉残铁渣量预测的研究  

Predicting Study of Remnant Weight of Iron and Slag Based on Fuzy Neural Network

作　　者：赵帼英[1] 汪光阳[1] 钱亚平[2] 

机构地区：[1]安徽工业大学计算机学院,安徽马鞍山243002 [2]马鞍山钢铁公司第三炼铁厂,安徽马鞍山243000

出　　处：《工业控制计算机》2009年第1期50-51,共2页Industrial Control Computer

摘　　要：提出了利用模糊神经网络对高炉残铁量和残渣量预测的算法,论述了预测系统设计思路及网络结构的确定方法,最后应用实例验证该算法的可行性。对神经网络输出值和实际值的均方误差及对比曲线分析的结果表明,该方法对解决工程实际中预测问题具有一定的指导意义。In this paper,an algorithm based on fuzzy neural network in predicting the remnant weight of iron and slag is proposed. It expound the design of the predicting system and the structure of the fuzzy neural network.Finally,in order to validate the feasibility of the algorithm,an experiment was presented.Though analyzing the MSE and curve between the network outputs and real data,the results obtained show that the method had direction significance on the resolving of the project＇s predicting problem.

关 键 词：模糊神经网络 高炉 炼铁 

分 类 号：TF534[冶金工程—钢铁冶金]