| 基于RBF神经网络的烧结终点预报系统 |
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| 引用本文： | 陈至坤,唐瑞尹,王福斌,史涛,王青.基于RBF神经网络的烧结终点预报系统[J].机械工程与自动化,2011(1):1-3. |
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| 作者姓名： | 陈至坤 唐瑞尹 王福斌 史涛 王青 |
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| 作者单位： | 河北理工大学,计算机与自动控制学院,河北,唐山,063009 |
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| 基金项目： | 唐山市工业科研计划项目(07160202B-9) |
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| 摘 要： | 为稳定烧结机运行工况,提高烧结矿的产量和质量,需要将烧结终点控制在一个相对稳定的范围,因此准确预报烧结终点对烧结生产具有重要意义。分析了烧结工艺流程及烧结终点的确定原则,建立了基于RBF神经网络的烧结终点预报模型。根据影响烧结终点的工艺参数,提取了与烧结终点关联的5个特征量作为网络的输入量。用现场采集的生产工艺参数对模型进行训练,仿真分析验证了模型预报的有效性。
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| 关 键 词： | 烧结 烧结终点 RBF神经网络 预报 |
Sintering Burn-through Point Forecasting System Based on RBF Neural Network |
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| CHEN Zhi-kun,TANG Rui-yin,WANG Fu-bin,SHI Tao,WANG Qing.Sintering Burn-through Point Forecasting System Based on RBF Neural Network[J].Mechanical Engineering & Automation,2011(1):1-3. |
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| Authors: | CHEN Zhi-kun TANG Rui-yin WANG Fu-bin SHI Tao WANG Qing |
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| Affiliation: | CHEN Zhi-kun,TANG Rui-yin,WANG Fu-bin,SHI Tao,WANG Qing(Computer and Automatic Control College,Hebei Polytechnic University,Tangshan 063009,China) |
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| Abstract: | For the aim of stabilizing sintering machine operation condition,increasing the yield and quality of sinter ore,we need to control sintering burn-through point in the relative stable extent,there is an important significance for production of sinter to forecast sintering burn-through point accurately.In this paper,the sinter technical process and the principle of ascertaining sintering burn-through point are analyzed,and a sintering burn-through point forecasting model based on RBF neural network is created... |
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| Keywords: | sintering sintering burn-through point RBF neural network forecasting |
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