| 基于神经网络的烧结终点预报的研究 |
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| 引用本文： | 李明河,王群京,孙雁飞.基于神经网络的烧结终点预报的研究[J].合肥工业大学学报(自然科学版),2004,27(6):631-634. |
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| 作者姓名： | 李明河 王群京 孙雁飞 |
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| 作者单位： | 1. 合肥工业大学,电气与自动化工程学院,安徽,合肥,230009
2. 安徽工业大学,电气信息学院,安徽,马鞍山,243002 |
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| 摘 要： | 针对烧结终点非线性的特点,采用误差反向传播算法的多层前馈神经网络(BP)来建立其模型,用自适应算法确定学习参数,用改进的BP神经网络的算法求出结构适宜的自适应网络。提出并实践了提高烧结终点BP神经网络预报速度的数据处理方法,基于现场数据采用计算机仿真的结果表明该方法的有效性。
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| 关 键 词： | 烧结终点 预报 BP网络 仿真 |
| 文章编号： | 1003-5060(2004)06-0631-04 |
| 修稿时间： | 2003年9月2日 |
Simulation study on predicting of burning through point of sintering based on artificial neural network |
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| LI Ming-he,WANG Qun-jing,SUN Yan-fei.Simulation study on predicting of burning through point of sintering based on artificial neural network[J].Journal of Hefei University of Technology(Natural Science),2004,27(6):631-634. |
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| Authors: | LI Ming-he WANG Qun-jing SUN Yan-fei |
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| Institution: | LI Ming-he~1,WANG Qun-jing~1,SUN Yan-fei~2 |
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| Abstract: | The BP network is used in modeling of the burning through point(BTP) of sintering with nonlinear characteristics. The adaptive algorithm is used to determine iterative learning parameters. The adaptive network with appropriate structure is given by the modified algorithm for the BP network. The data-handling method for shortening the prediction time of the BTP is advanced and applied to the prediction of a practical case. The simulation result illustrates the effectiveness of the presented method. |
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| Keywords: | burning through point of sintering prediction BP network simulation |
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