DocumentCode
3138708
Title
A neural-fuzzy control in resistance furnace
Author
Fang, Kangling ; Shen, Zhongjie
Author_Institution
Wuhan Yejin Univ. of Sci. & Technol., China
Volume
1
fYear
1997
fDate
28-31 Oct 1997
Firstpage
200
Abstract
A neural-fuzzy regulator to control the temperature of a resistance furnace is described in this paper. For increasing the learning speed, an improved backpropagation algorithm is proposed. The results of practical operation show that the system with the neural-fuzzy regulator has better static and dynamic characteristics
Keywords
backpropagation; fuzzy control; fuzzy neural nets; neurocontrollers; resistance furnaces; temperature control; backpropagation; dynamic characteristics; fuzzy control; learning; neural control; neurofuzzy regulator; resistance furnace; static characteristics; temperature control; Control systems; Furnaces; Fuzzy control; Fuzzy neural networks; Humans; Immune system; Mathematical model; Neural networks; Process control; Temperature control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.672765
Filename
672765
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