Intelligent control system for nitrifying process in dinitrochlorobenzene production

Intelligent control system for nitrifying process in dinitrochlorobenzene production

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 cha...

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Bibliographische Detailangaben
1. Verfasser: Xiaochun Lou
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Artificial intelligence
Chaos
component
control system
Cooling
dinitrochlorobenzene
intelligent
Neurons
nitrifying process
Optimization
Process control
Real time systems
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/FSKD.2010.5569664