| 应用模糊神经网络对重介质密度进行估算 |
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| 引用本文： | 李文正,孙伟,郑车晓,周德华. 应用模糊神经网络对重介质密度进行估算[J]. 矿山机械, 2011, 0(9) |
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| 作者姓名： | 李文正 孙伟 郑车晓 周德华 |
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| 作者单位： | 中国矿业大学信息与电气工程学院; |
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| 摘 要： | 介绍了重介质悬浮液密度在整个选煤过程中的重要性,综合神经网络和模糊控制的优点,提出了一种基于模糊神经网络的悬浮液密度估算方法。以模糊估算器抽象出来的模糊规则表作为神经网络的学习样本,利用神经网络的自学习能力,不断对网络权值和激活函数的参数进行修改,实现了在线修改模糊推理规则的目的。
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| 关 键 词： | 重介选煤 密度 模糊神经网络 估算 |
Estimation on dense-medium density with fuzzy neural network |
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| LI Wenzheng,SUN Wei,ZHENG Chexiao,ZHOU Dehua School of Information , Electrical Engineering,China University of Mining , Technology,Xuzhou ,Jiangsu,China. Estimation on dense-medium density with fuzzy neural network[J]. Mining & Processing Equipment, 2011, 0(9) |
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| Authors: | LI Wenzheng SUN Wei ZHENG Chexiao ZHOU Dehua School of Information & Electrical Engineering China University of Mining & Technology Xuzhou Jiangsu China |
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| Affiliation: | LI Wenzheng,SUN Wei,ZHENG Chexiao,ZHOU Dehua School of Information & Electrical Engineering,China University of Mining & Technology,Xuzhou 221008,Jiangsu,China |
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| Abstract: | The significance of the density of the dense-medium suspension during the coal separation course is introduced.Integrating the advantages of neural network and fuzzy control,a method of estimating the suspension density based on fuzzy neural network(FNN) is proposed.The fuzzy rule table abstracted by fuzzy estimator serves as learning sample for neural network,and parameters such as network weight and activation function are continuously revised by using self-taught ability of neural network.Thus online rev... |
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| Keywords: | dense-medium separation density fuzzy neural network estimation |
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