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