Title :
Intelligent control system for nitrifying process in dinitrochlorobenzene production
Author_Institution :
Hangzhou Vocational & Tech. Coll., Hangzhou, China
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
DOI :
10.1109/FSKD.2010.5569664
