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.
Published in:
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
(Volume:5
)
Date of Conference: 10-12 Aug. 2010