| 遗传机理神经网络在电弧炉炼钢模型辨识中应用 |
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| 引用本文： | 刘贺平,郭哲,李华德,孙明. 遗传机理神经网络在电弧炉炼钢模型辨识中应用[J]. 北京科技大学学报, 1999, 21(6): 18 |
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| 作者姓名： | 刘贺平 郭哲 李华德 孙明 |
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| 作者单位： | 北京科技大学信息工程学院,北京,100083 |
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| 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，提出一种引入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．
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| 关 键 词： | 直流电弧炉炼钢 模型辨识 遗传算法 神经网络 |
GA Neural Network Based on Modelling for DC Arc Furnace Steelmaking Process |
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| Liu Heping,Guo Zhe,Li Huade,Sun Ming. GA Neural Network Based on Modelling for DC Arc Furnace Steelmaking Process[J]. Journal of University of Science and Technology Beijing, 1999, 21(6): 18 |
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| Authors: | Liu Heping Guo Zhe Li Huade Sun Ming |
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| 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. |
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| Keywords: | DC arc furnace modelling genetic algorithm(GA) neural network |
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