| 基于神经网络的高炉异常炉况判断专家系统 |
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| 引用本文： | 杨尚宝,杨天钧.基于神经网络的高炉异常炉况判断专家系统[J].北京科技大学学报,1994,16(6):517-521. |
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| 作者姓名： | 杨尚宝 杨天钧 |
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| 作者单位： | 北京科技大学冶金系 |
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| 摘 要： | 采用反向传播网络作为揄机，构造了高炉异常炉况判断专家系统，该系统具有良好的自学习功能和联想记忆功能，系统采用离线学习方式，在线运行时，可将高炉操作实绩存入知识库，作为进一步学习的样本，从而提高了系统精度和联想能力。
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| 关 键 词： | 高炉 专家系统 神经网络 自学习 |
Neuron-Based Expert System for Judging the State of Blast Furnace |
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| Yang Shangbao,Yang Tianjun.Neuron-Based Expert System for Judging the State of Blast Furnace[J].Journal of University of Science and Technology Beijing,1994,16(6):517-521. |
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| Authors: | Yang Shangbao Yang Tianjun |
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| Abstract: | An expert system based on neural network was establised for judging the state of blast furnace.The Back-Propagation network is used as engine of ES.This ES with selflearning function and associative memory function can be learning when the system off line and can save the samples into the knowledge base when the system on line.So the system ability can be developed continuously. |
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| Keywords: | blast furnace expert system neural network self-learning |
| 本文献已被 CNKI 维普 等数据库收录！ |
