| 小波模糊神经网络在高炉炉温预测中的应用 |
| |
| 引用本文： | 路永辉,马翠红.小波模糊神经网络在高炉炉温预测中的应用[J].四川冶金,2008,30(6). |
| |
| 作者姓名： | 路永辉 马翠红 |
| |
| 作者单位： | 河北理工大学计算机与自动控制学院,河北,唐山,063009 |
| |
| 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高炉炉温预测。仿真结果证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。
|
| 关 键 词： | 小波理论 模糊神经网络 高炉炉温 铁水硅含量 |
THE APPLICATION OF WAVELET FUZZY NEURAL NETWORK IN BLAST FURNACE TEMPERATURE FORECAST |
| |
| Lu Yonghui,Ma Cuihaong.THE APPLICATION OF WAVELET FUZZY NEURAL NETWORK IN BLAST FURNACE TEMPERATURE FORECAST[J].Sichuan Metallurgy,2008,30(6). |
| |
| Authors: | Lu Yonghui Ma Cuihaong |
| |
| Abstract: | On the basis of fuzzy neural network,setting up a metal of forecasting blast furnace temperature based on wavelet fuzzy neural network,which uses the wavelet theory to denoise the time signal first.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. |
| |
| Keywords: | wavelet theory fuzzy neural network the temperature of blast furnace silicon content in hot metal |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
