DocumentCode
2037834
Title
Intelligent control system for nitrifying process in dinitrochlorobenzene production
Author
Lou, Xiaochun
Author_Institution
Hangzhou Vocational & Tech. Coll., Hangzhou, China
Volume
5
fYear
2010
fDate
10-12 Aug. 2010
Firstpage
2021
Lastpage
2025
Abstract
The nitrifying process (NP) is an important step in dinitrochlorobenzene production. This paper presented an intelligent optimization control system (IOCS) to implement the modeling, optimization, and control of the NP by improved back-propagation neural networks, c-means clustering, genetic and chaos approaches. The results of actual runs demonstrate the validity of the system.
Keywords
backpropagation; chemical engineering; genetic algorithms; intelligent control; neural nets; organic compounds; pattern clustering; c-mean clustering; chaos approach; dinitrochlorobenzene production; genetic approach; improved backpropagation neural network; intelligent optimization control system; nitrifying process; Artificial intelligence; Chaos; Cooling; Neurons; Optimization; Process control; Real time systems; component; control system; dinitrochlorobenzene; intelligent; nitrifying process;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-5931-5
Type
conf
DOI
10.1109/FSKD.2010.5569664
Filename
5569664
Link To Document