节点文献
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
【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.
【关键词】 直流电弧炉炼钢;
模型辨识;
遗传算法;
神经网络;
【Key words】 DC arc furnace; modelling; genetic algorithm(GA); neural network;
【Key words】 DC arc furnace; modelling; genetic algorithm(GA); neural network;
【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