DocumentCode :
2641466
Title :
The evolution of neuro-fuzzy systems
Author :
Nauck, Detlef D. ; Nurnberger, A.
Author_Institution :
BT, Res. & Venturing, Ipswich, UK
fYear :
2005
fDate :
26-28 June 2005
Firstpage :
98
Lastpage :
103
Abstract :
When the popularity of fuzzy systems in the guise of fuzzy controllers began to rise in the beginning of the 1990s researchers became interested in supporting the development process by an automatic learning process. Just a few years earlier the backpropagation learning rule for multi-layer neural networks had been rediscovered and triggered a massive new interest in neural networks. The approach of combining fuzzy systems with neural networks into neuro-fuzzy systems therefore was an obvious choice for making fuzzy systems learns. In this paper we briefly recall some milestones on the evolution of neuro-fuzzy systems.
Keywords :
fuzzy control; fuzzy neural nets; fuzzy systems; learning (artificial intelligence); neurocontrollers; automatic learning process; fuzzy controllers; neural networks; neuro-fuzzy systems; Automatic control; Control systems; Feedforward systems; Function approximation; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Neural networks; Process design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN :
0-7803-9187-X
Type :
conf
DOI :
10.1109/NAFIPS.2005.1548515
Filename :
1548515
Link To Document :
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