| 基于BP神经网络的脱油机械散气-水力旋流器模型 |
| |
| 引用本文： | 何世德,李锐,张占梅,周于. 基于BP神经网络的脱油机械散气-水力旋流器模型[J]. 广州化工, 2010, 38(8): 232-233 |
| |
| 作者姓名： | 何世德 李锐 张占梅 周于 |
| |
| 作者单位： | 重庆远达水务有限公司,重庆,400060 |
| |
| 摘 要： | 运用MATLAB神经网络工具箱,建立了三层BP神经网络的操作参数预测模型,结果表明,模型输入水力旋流器的结构参数、物性参数和分离性能,对机械散气-水力旋流器的操作参数预测是可行的,促进了机械散气-水力旋流器的应用及其自动控制的实施和发展。
|
| 关 键 词： | BP神经网络 水力旋流器 MATLAB神经网络工具箱 操作参数 |
Model of Air-smashing Hydrocyclones Based on BP Neural Networks |
| |
| HE She-de,LI Rui,ZHANG Zhan-mei,ZHOU Yu. Model of Air-smashing Hydrocyclones Based on BP Neural Networks[J]. GuangZhou Chemical Industry and Technology, 2010, 38(8): 232-233 |
| |
| Authors: | HE She-de LI Rui ZHANG Zhan-mei ZHOU Yu |
| |
| Affiliation: | (Chongqing Yuanda Water Treatment Service Co.,Ltd.,Chongqing 400039,China) |
| |
| Abstract: | A three-layer BP neural networks predictive model was established for operational parameters,carried out by MATLAB neural networks toolbox.It showed that the simulation of air-smashing hydrocyclones by means of MATLAB neural networks toolbox was feasible.By the simulation,the operational parameters of air-smashing hydrocyclones can be predicted according to the different physical property,the geometric parameters and separation requirement,and it was very helpful to spreading the application and autocontrol of air-smashing hydrocyclones. |
| |
| Keywords: | BP neural networks hydrocyclone MATLAB’s neural networks toolbox operational parameters |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
