| 液固比智能集成预测模型 |
| |
| 引用本文： | 谭何军 桂卫华. 液固比智能集成预测模型[J]. 企业技术开发, 2005, 24(1): 6-8 |
| |
| 作者姓名： | 谭何军 桂卫华 |
| |
| 作者单位： | 中南大学信息科学与工程学院 湖南长沙410083(谭何军)，中南大学信息科学与工程学院 湖南长沙410083(桂卫华) |
| |
| 摘 要： | 文章以中国铝业公司河南分公司氧化铝生产过程为背景,着重研究了液固比的智能集成预测模型的建立和应用,以原矿浆配料过程为研究对象,应用神经网络和灰色理论建立了液固比预测模型。现场运行结果表明该模型的有效性和精确性,很好地实现液固比的在线预测。
|
| 关 键 词： | 液固比 神经网络 灰色GM(1,1)模型 智能集成模型 |
| 文章编号： | 1006-8937(2005)01-0006-03 |
| 修稿时间： | 2004-09-21 |
The intelligent-integrated model for L/S prediction |
| |
| TAN He-jun,GUI Wei-hua. The intelligent-integrated model for L/S prediction[J]. Technological Development of Enterprise, 2005, 24(1): 6-8 |
| |
| Authors: | TAN He-jun GUI Wei-hua |
| |
| Abstract: | On the background of production process of alumina in Henan Branch China Aluminum, this paper mainly does research in the establishment and application of intelligent integrated prediction model of L/S. The author does research in the process of material blending and establishes prediction model of L/S by using NN and grey theory. An live application shows that intelligent integrated model is effective and it can predict L/S online very precisely. |
| |
| Keywords: | radio of liquid to solid neural networks grey GM(1 1) model intelligent-integrated model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
