Title :
Intelligent Control System for Cleaning Process in Sugar Refinery
Author_Institution :
China Jiliang Univ., Hangzhou, China
Abstract :
The cleaning process (CP) is an important step in sugar refinery. This paper presented an intelligent optimization control system (IOCS) to implement the modeling, optimization, and control of the CP 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; chaos; cleaning; intelligent control; neural nets; optimisation; sugar refining; back propagation neural networks; c-means clustering; chaos approach; cleaning process; genetic approach; intelligent optimization control system; modeling; sugar refinery; system validity; Artificial intelligence; Automatic control; Cleaning; Control systems; Heating; Intelligent control; Intelligent systems; Process control; Sugar refining; Temperature control; Cleaning Process; Intelligent Control System; Sugar Refinery;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.263
