The Research of Glass Furnace Commutation Control System which is Based on Fuzzy Neural Network

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In this article, a new combustion control program would be introduced, which is planned to use fuzzy neural network for intelligent analysis of temperature variation on end fire glass furnace. This program would be adapted to regenerative end fire glass furnace. The actual running of system indicates that the system is in good effect and suitable for the production technology very well.

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510-513

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November 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Ishigami H, Fukuda T and Shibasta T, et al. Structure optimization pf fuzzy neural network by genetic algorithm [J]. Fuzzy set and systems, 1995, 71(3): 257-264.

DOI: 10.1016/0165-0114(94)00283-d

Google Scholar

[2] Dempf D, List T. On-line data reconciliation in chemical plants [J] . Computer Chemical Engineering, 1988, 22: 1023-1025.

Google Scholar

[3] North-west Light Industry College. Glass Technology . China Light Industry Press, ISBN: 7501901791, 2006-9.

Google Scholar

[4] Berenji HR, Khedhar P. Learning and turning fuzzy logic controllers through reinforcements[J]. IEEE Transaction On Neural Networks, 1992. 3(5): 724-740.

DOI: 10.1109/72.159061

Google Scholar