Title :
The Application of Hybrid neural network for Burning Through Point Control
Author_Institution :
Shanghai Univ. of Eng. Sci.
Abstract :
Due to time varying, long time delay, noise and multimode, we use the self-organized neural network to deal with clustering analysis and character process of sinter process, and use the hybrid neural network to quickly predict the BTP of the subclass to improve the response of system and satisfy the real-time control requirement. Through experimental testing and data analyzing, the system possess stronger robust and adaptable
Keywords :
control engineering computing; genetic algorithms; neural nets; production engineering computing; sintering; statistical analysis; character process; clustering analysis; data analysis; hybrid neural network; real-time control requirement; self-organized neural network; sinter burning through point control; sinter process; time delay; time varying system; Artificial neural networks; Cells (biology); Control systems; Delay effects; Neural networks; Neurons; Phased arrays; Real time systems; Time varying systems; Two dimensional displays;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631419
