人工神经网络在转炉炼钢控制中的开发 |
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引用本文: | 朱新华,冯聚和.人工神经网络在转炉炼钢控制中的开发[J].河北理工学院学报,2003,25(4):73-77. |
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作者姓名: | 朱新华 冯聚和 |
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作者单位: | 河北理工学院冶金系,河北理工学院冶金系 河北唐山063009,河北唐山063009 |
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摘 要: | 转炉炼钢是一个非常复杂的很难用数学方程精确描述的高温冶金反应过程,人工神经网络因其具有较强的非线性问题处理能力且容错性强而得以在钢铁工业中应用。本文叙述了其开发现状,并最后通过分析增出,神经网络必将在炼钢生产过程中得到广泛的应用并起到不可估量的作用。
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关 键 词: | 人工神经网络 转炉炼钢 静态控制 模型 BP网络 RBF网络 温度控制 |
文章编号: | 1007-2829(2003)04-0073-05 |
修稿时间: | 2003年3月13日 |
Exploitation of artificial neural network in control of BOF |
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Abstract: | Steelmaking is a very complex pyrometallurgical process which is very difficult to describe accurately. Artificial neural network can be used in metallurgical industry due to its ability in dealing with non-linear problems and in fault-tolerance. The paper indicated the exploitation of the network and pointed out that neural network will play a very important role in developing the steelmaking industry. |
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Keywords: | steelmaking process artificial neural network static control end point-hit rate |
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