Application of improved PSO-RBF neural network in the synthetic ammonia decarbonization
The synthetic ammonia decarbonization is a typical complex industrial process, which has the characteristics of time variation, nonlinearity and uncertainty, and the on-line control model is difficult to be established. An improved PSO-RBF neural network control algorithm is proposed to solve the pr...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Hebei University of Science and Technology
2017-12-01
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| Series: | Journal of Hebei University of Science and Technology |
| Subjects: | |
| Online Access: | http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b201706011&flag=1&journal_ |