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遗传机理神经网络在电弧炉炼钢模型辨识中应用

GA Neural Network Based on Modelling for DC Arc Furnace Steelmaking Process

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【作者】 刘贺平; 郭哲; 李华德; 孙明;

【Author】 Liu Heping;Guo Zhe;Li Huade;Sun Ming(Informationg Engineering School,UST Beijing,Beijing 100083,China)

【机构】 北京科技大学信息工程学院!北京100083;

【摘要】 在直流电弧炉炼钢过程控制系统中,由于它的复杂机理,高度非线性加大了建模的难度.为提供适用于直流电弧炉炼钢过程优化控制的模型,提出一种引人遗传算法的神经网络建模方法,并将其用于某厂直流电弧炉炼钢过程模型的建立,获得了很好的效果.同时给出了基于现场实测数据的仿真结果.

【Abstract】 In process control system for DC arc furnace steelmaking,modelling is a key part.Because ofits complicated mechanism and nonlinearity, it is difficult to model of the process accurately. A genetic neuralnetwork algorithm is presented for DC arc furnace steelmaking process modelling and good effects are obta-ined in its application for real manufacture process modelling.Simulation results with actual process data arepresented.

【基金】 国家“八五”攻关重点课题!No.85-311-02-11-04
  • 【文献出处】 北京科技大学学报 ,JOURNAL OF UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING , 编辑部邮箱 ,1999年06期
  • 【分类号】TF345.5
  • 【被引频次】7
  • 【下载频次】175
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