| 基于模糊关系的精炼炉底吹氩系统的复合建模 |
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| 引用本文： | 张浩,李敏远.基于模糊关系的精炼炉底吹氩系统的复合建模[J].湖南文理学院学报(自然科学版),2001,12(4):27-30. |
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| 作者姓名： | 张浩 李敏远 |
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| 作者单位： | 西安理工大学 陕西西安 710048
(张浩)，西安理工大学 副教授(李敏远) |
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| 摘 要： | 针对ＬＦ精炼炉底吹氩的工艺过程，提出了利用模糊理论建立底吹氩模型的方法。一种方法是利用专家知识和操作经验（即ＩＦ－ＴＨＥＮ规则）建立底吹氩的模糊规则模型；另一种方法是利用模糊神经网络方法建立底吹是的学习模型。最后综合考虑前２种模型的建核结果，建立整个过程的模型。
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| 关 键 词： | 模糊规则 模糊神经网络 底吹氩 建模 |
| 文章编号： | 1009-3818(2001)04-0027-04 |
| 修稿时间： | 2001年9月12日 |
COMPOUND MODELING OF REFINING FURNANCE BOTTOM BLOWING ARGON SYSTEM OF THE BASE OF FUZZY LOGIC RELATION |
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| ZHANG hao LI Min-yuan.COMPOUND MODELING OF REFINING FURNANCE BOTTOM BLOWING ARGON SYSTEM OF THE BASE OF FUZZY LOGIC RELATION[J].Journal of Hunan University of Arts and Science:Natural Science Edition,2001,12(4):27-30. |
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| Authors: | ZHANG hao LI Min-yuan |
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| Abstract: | According to the process of LF refining furnance bottom blowing Argon,two methods of modeling on the base of fuzzy theory were presented.One method was building bottom blowing Ar- gon's fuzzy rule model by expert's knowledge and operators' experi- ence;the other is building its learning model by fuzzy neural network approach.Finally the final model was obtained on the base of consid- ering the two modeling results. |
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| Keywords: | fuzzy rules fuzzy neural network bottom blowing Argon modeling |
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