| 高炉煤气流分布模式识别神经元网络模型及应用 |
| |
| 引用本文： | 涂春林,毕学工,周勇. 高炉煤气流分布模式识别神经元网络模型及应用[J]. 山东冶金, 2004, 26(2): 42-44 |
| |
| 作者姓名： | 涂春林 毕学工 周勇 |
| |
| 作者单位： | 武汉科技大学,湖北,武汉,430081;武汉科技大学,湖北,武汉,430081;武汉科技大学,湖北,武汉,430081 |
| |
| 摘 要： | 高炉煤气流的控制是高炉操作的重要方面，为了更直接地判断煤气流的分布，利用自组织神经网络开发的教学模型整理出了25种煤气流分布模式，该模型有助于高炉操作者更直观地判断煤气流的分布．
|
| 关 键 词： | 高炉 煤气流分布 识别 自组织神经元网络 模型 |
| 文章编号： | 1004-4620(2004)02-0042-03 |
| 修稿时间： | 2004-01-05 |
Neural Network Model for Recognition of Gas Stream Distribution Pattern in Furnace Top and Its Application |
| |
| TU Chun-lin,BI Xue-gong,ZHOU Yong. Neural Network Model for Recognition of Gas Stream Distribution Pattern in Furnace Top and Its Application[J]. Shandong Metallurgy, 2004, 26(2): 42-44 |
| |
| Authors: | TU Chun-lin BI Xue-gong ZHOU Yong |
| |
| Abstract: | The control of gas stream is important in BF operation, how to estimate gas stream distribution is very vital. 25 kinds of gas stream distribution patterns have been arranged in order by means of mathematical model developed by the self-organization neural network. This will be helpful for workers to operate BF. |
| |
| Keywords: | BF gas stream distribution recognition self-organization neural network mathematical model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
