| 用神经网络法预测鼓泡塔内的气含率 |
| |
| 引用本文： | 罗湘华,吴元欣,李定或. 用神经网络法预测鼓泡塔内的气含率[J]. 化学工程, 2003, 31(3): 41-44,49 |
| |
| 作者姓名： | 罗湘华 吴元欣 李定或 |
| |
| 作者单位： | 武汉化工学院,化工系,湖北,武汉,430073 |
| |
| 基金项目： | 国家自然科学基金资助 ( 2 0 0 76 0 36 ) |
| |
| 摘 要： | 在 2 0 0 0多组公开发表的鼓泡塔实验数据组成的数据库基础上 ,提出了一个预测鼓泡塔内气含率的关联式 ,介绍了一种新的神经网络回归方法。将该方法与受力分析结合起来得到 4个对鼓泡塔内气含率影响较大的无因次准数 ,对所得到的模型作出评价
|
| 关 键 词： | 鼓泡塔 气含率 神经网络 关联式 |
| 文章编号： | 1005-9954(2003)03-0041-04 |
Prediction of Gas Holdup in Bubble Columns Using Artificial Neural Network |
| |
| LUO Xiang hua,WU Yuan xin,LI Ding huo. Prediction of Gas Holdup in Bubble Columns Using Artificial Neural Network[J]. Chemical Engineering, 2003, 31(3): 41-44,49 |
| |
| Authors: | LUO Xiang hua WU Yuan xin LI Ding huo |
| |
| Abstract: | On the basis of a large data bank consisting of more than 2000 experimental results published for bubble columns, a state of the art correlation for the prediction of gas holdup was proposed. A new method of neural network regression was introduced,and it was applied by combined with force analysis to identify four most expressive dimensionless groups. Assessment of the correlation was demonstrated. |
| |
| Keywords: | bubble column gas holdup neural network correlation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
