Title :
A neural-fuzzy control in resistance furnace
Author :
Fang, Kangling ; Shen, Zhongjie
Author_Institution :
Wuhan Yejin Univ. of Sci. & Technol., China
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;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672765
