| 用简单动态递归网构造固体散料流量模型 |
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| 引用本文： | 赵林惠,郑德玲,尹众.用简单动态递归网构造固体散料流量模型[J].北京科技大学学报,2003,25(1):79-82. |
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| 作者姓名： | 赵林惠 郑德玲 尹众 |
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| 作者单位： | 1. 北京科技大学信息工程学院,北京,100083
2. 北京航空航天大学自动化与电气工程学院,北京,100083 |
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| 摘 要： | 提出了用简单动态递归网来建立固体散料流量模型，针对动态递归网结构复杂，训练算法收敛速度慢的缺点，采用一种结构十分简单的递归网，对RPE算法进行了改进和补充，使之适用于简单递归网，用来对网络的权值和阈值进行调整，建模结果表明此方法收敛速度快，精度高。
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| 关 键 词： | 简单动态递归网 固体散料流量模型 网络结构 RPE算法 网络结构 权值 阈值 模型建设 神经网络 |
| 修稿时间： | 2002年1月6日 |
Solid Granule Flowrate Modeling Using Simple Dynamic Recurrent Neural Networks |
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| ZHAO Linhui,ZHENG Deling,YIN ZhongInfonnation Engineering School,University of Science and Technology Beijing,Beijing ,ChinaBeihang University,Beijing ,China.Solid Granule Flowrate Modeling Using Simple Dynamic Recurrent Neural Networks[J].Journal of University of Science and Technology Beijing,2003,25(1):79-82. |
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| Authors: | ZHAO Linhui ZHENG Deling YIN ZhongInfonnation Engineering School University of Science and Technology Beijing Beijing ChinaBeihang University Beijing China |
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| Institution: | ZHAO Linhui,ZHENG Deling,YIN ZhongInfonnation Engineering School,University of Science and Technology Beijing,Beijing 100083,ChinaBeihang University,Beijing 100083,China |
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| Abstract: | A solid granule flowrate model was proposed by using simple dynamic recurrent neural networks. Considering dynamic recurrent neural network's shortcomings of complex structure and low convergence speed of training algorithm, a kind of recurrent neural network was adpted. whose structure is very simple. This RPE algorithm was adapted to the simple recurrent network by making improvement and complementarity, and the weight and the threshold of the network can be adjusted at the same time. The results of modeling show the speediness and the high-precision of this method. |
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| Keywords: | dynamic recurrent neural network RPE algorithm solid granule flowrate |
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