| 小波模糊神经网络在高炉铁水硅质量分数预测中的应用 |
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| 引用本文： | 路永辉,马翠红.小波模糊神经网络在高炉铁水硅质量分数预测中的应用[J].江西冶金,2008,28(5). |
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| 作者姓名： | 路永辉 马翠红 |
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| 作者单位： | 河北理工大学,河北,唐山,063009 |
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| 摘 要： | 在运用模糊神经网络进行预测的基础上,建立了一种应用小波理论对时间信号进行去噪,根据去噪处理对模糊神经网络作相应处理的预测模型,并将所建模型应用于预测高炉铁水中硅的质量分数.仿真结果表明小波模糊神经网络比模糊神经网络更具优越性,预测准确率明显提高.
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| 关 键 词： | 小波理论 模糊神经网络 硅的质量分数 |
The Application of Wavelet Fuzzy Neural Network in Prediction of Si-content in Hot Metal for A Blast Furnace |
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| LU Yong-hui,MA Cui-hong.The Application of Wavelet Fuzzy Neural Network in Prediction of Si-content in Hot Metal for A Blast Furnace[J].Jiangxi Metalllurgy,2008,28(5). |
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| Authors: | LU Yong-hui MA Cui-hong |
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| Affiliation: | LU Yong-hui,MA Cui-hong (Hebei Polytechnic University,Tangshan 063009 Hebei,China) |
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| Abstract: | On the basis of fuzzy neural network,setting up a model of forecasting silicon content in hot metal based on wavelet fuzzy neural network,which uses the wavelet theory to denoise the time signal.The practical results shows that the proposed method has increased significantly the hitting rate of silicon content in hot metal comparing with fuzzy neural network. |
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| Keywords: | wavelet theory fuzzy neural network silicon content |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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