| 用优化参数降低芳烃抽提过程中丁烷的损耗量 |
| |
| 引用本文： | 杨松,程桂芬.用优化参数降低芳烃抽提过程中丁烷的损耗量[J].沈阳工业大学学报,2004,26(4):438-441. |
| |
| 作者姓名： | 杨松 程桂芬 |
| |
| 作者单位： | 沈阳工业大学,电气工程学院,辽宁,沈阳,110023 |
| |
| 基金项目： | 辽宁省教育厅科研计划资助(2020163313) |
| |
| 摘 要： | 针对如何降低芳烃抽取过程中的丁烷消耗问题，提出优化过程操作参数的解决方法．其中优化问题的模型用人工神经网络来描述，优化方法采用遗传算法．介绍了人工神经网络建模的过程和遗传算法寻优的步骤．
|
| 关 键 词： | 芳烃抽提 优化 人工神经网络 遗传算法 |
| 文章编号： | 1000-1646(2004)04-0438-04 |
| 修稿时间： | 2003年6月9日 |
Decrease butane consumption in course of aromatic extraction by optimizing operating parameters |
| |
| YANG Song,CHENG Gui-fen.Decrease butane consumption in course of aromatic extraction by optimizing operating parameters[J].Journal of Shenyang University of Technology,2004,26(4):438-441. |
| |
| Authors: | YANG Song CHENG Gui-fen |
| |
| Abstract: | In view of the problem of how to decrease butane consumption in course of aromatic extraction, a solution of optimizing operating parameters is presented. Optimization model is described by artificial neural network and genetic algorithm is used in optimization method. The process of artificial neural network modeling and the procedure of genetic algorithm optimization are introduced. Optimized operating parameters are obtained. |
| |
| Keywords: | aromatics extraction optimization genetic algorithm MATLAB |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
