Modeling of Integrated Processes for Coking Flue Gas Desulfurization and Denitrification Based on RBFNN
文献类型：会议论文
| 作者 | Li YN(李亚宁) ; Wang XL; Tan J
|
| 出版日期 | 2016-06 |
| 会议日期 | June 26-29, 2016 |
| 会议地点 | Okayama |
| 关键词 | Desulfurization And Denitrification Kmeans Clustering Rbfnn |
| 页码 | 71-76 |
| 英文摘要 | This paper proposes an efficient modeling method based on the history running data of a coking chemical company flue gas desulfurization and denitrification integration device: construct data set according to the technology principle and corresponding data preprocessing method; make division of working conditions and reduce the sample set by means of K-Means clustering method; realize static modeling for each of the conditions based on RBF neural network. The simulation results show the effectiveness of the method and the artificial neural network model. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/21180]  |
| 专题 | 综合信息系统研究中心_工业智能技术与系统 |
| 作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Li YN,Wang XL,Tan J. Modeling of Integrated Processes for Coking Flue Gas Desulfurization and Denitrification Based on RBFNN[C]. 见:. Okayama. June 26-29, 2016. |
入库方式： OAI收割
来源：自动化研究所
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