| 应用人工神经网络和遗传算法预测高炉铁水硫含量 |
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| 引用本文： | 王宝祥,陈伟,闫小林,韩宏亮.应用人工神经网络和遗传算法预测高炉铁水硫含量[J].河北冶金,2007(3):37-40. |
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| 作者姓名： | 王宝祥 陈伟 闫小林 韩宏亮 |
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| 作者单位： | 1. 唐山中厚板材有限公司,河北,唐山,063600
2. 河北理工大学,河北,唐山,063000 |
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| 摘 要： | 以人工神经网络和遗传算法为基础,建立了以遗传算法优化神经网络初始化权值的铁水硫含量预测系统,有效地提高了预测精度,减少了计算时间.在线应用表明,本预测系统可有效预测高炉铁水硫含量,对高炉实际生产具有较好的指导作用.
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| 关 键 词： | 人工神经网络 遗传算法 高炉 铁水 硫含量 |
| 文章编号： | 1006-5008（2007）03-0037-04 |
| 收稿时间： | 2007-02-09 |
| 修稿时间： | 2007年2月9日 |
PRE-CALCULATING SULPHUR CONTENT IN SMELTING IRON WITH ARTIFICIAL NEURAL NETWORK AND GENETIC CALCULATION |
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| WANG Bao-xiang,CHEN Wei,YAN Xiao-lin,HAN Hong-liang.PRE-CALCULATING SULPHUR CONTENT IN SMELTING IRON WITH ARTIFICIAL NEURAL NETWORK AND GENETIC CALCULATION[J].Hebei Metallurgy,2007(3):37-40. |
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| Authors: | WANG Bao-xiang CHEN Wei YAN Xiao-lin HAN Hong-liang |
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| Affiliation: | 1. Tangshan Medium and Heavy Plate Co. , Ltd. , Tangshan, Hebei, 063600 ; 2. Hebei University of Science and Engineering, Tangshan, Hebei, 063000 |
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| Abstract: | With artificial neural network and genetic calculation as base, the sulfur content pre - calculating system was built, which optimizes the initializing weight value of neural network with genetic calculation. It effectively raised the calculating precision and reduced the calculating time. It is showed from its site application that it can forecast the sulfur content in smelted iron and play an important role in production. |
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| Keywords: | artificial neural network genetic calculating blast furnace smelted iron sulfur content |
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