DocumentCode :
1629177
Title :
Hybrid fuzzy controller designs that use pattern recognition and neural networks
Author :
Bezdek, James C.
Author_Institution :
Dept. of Comput. Sci., Univ. of West Florida, Pensacola, FL, USA
fYear :
1994
Firstpage :
20
Lastpage :
25
Abstract :
The author shows one of many ways to build a hybrid model for fuzzy control that uses fuzzy clustering and CNNs as tools. Neither fuzzy control nor CNNs are well-aged, but they are mature enough to bear fruit. Hybrid models can and will have properties that their progenitors do not possess. Not all hybrids will be good, so many testing and evaluation will be necessary.
Keywords :
feedforward neural nets; fuzzy control; intelligent control; neurocontrollers; pattern classification; feedforward neural networks; fuzzy clustering; fuzzy-c mean; hybrid fuzzy-neural controller; linguistic control; pattern recognition; Equations; Feeds; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Hypercubes; Neural networks; Pattern recognition; Prototypes; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Southcon/94. Conference Record
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-9988-9
Type :
conf
DOI :
10.1109/SOUTHC.1994.498069
Filename :
498069
Link To Document :
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