| 基于神经网络的单步和多步电弧炉模型的研究与应用 |
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| 引用本文： | 陈兵,王华. 基于神经网络的单步和多步电弧炉模型的研究与应用[J]. 现代电子技术, 2003, 0(2): 57-60 |
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| 作者姓名： | 陈兵 王华 |
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| 作者单位： | 1. 西安理工大学,陕西,西安,710048
2. 西安工业学院,陕西,西安,710032 |
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| 摘 要： | 介绍了电弧炉计算机智能控制系统的特点与方法，并着重讨论了神经网络预估模型的设计，包括遗传算法在建立神经网络模型的应用和神经网络模型实时学习的要求，基于此基础对于多步预估进行了讨论和研究。通过实际应用证实该系统具有效率高，电能消耗低，电极消耗和耐火材料消耗少等一系列优点。
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| 关 键 词： | 电弧炉 神经网络预估模型 遗传算法 多步预估 |
| 文章编号： | 1004-373X(2003)02-057-04 |
| 修稿时间： | 2002-10-18 |
Research and Application of One -step or Multi -step Pre -estimating Neural Network Model of Electric arc Furnace |
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| CHEN Bing ,WANG Hua. Research and Application of One -step or Multi -step Pre -estimating Neural Network Model of Electric arc Furnace[J]. Modern Electronic Technique, 2003, 0(2): 57-60 |
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| Authors: | CHEN Bing WANG Hua |
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| Affiliation: | CHEN Bing 1,WANG Hua 2 |
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| Abstract: | Introduces the characteristics and method of the intelligencetype computer control system of electric arc furnace, and then focus on the designing of preestimating neural network model include the application of genetic algorithm in establishing of neural network model and the requirement of real time study for neural network model, and then do some research of multistep EAF current prediction It is verified that this system has a series of advantagessuch as high efficient, low consumption of energy, electrodes and refractories through practical operation |
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| Keywords: | electric arc furnace preestimating neural network model genetic algorithm multistep prediction |
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