Paper Info
Title
New Ideas In Fuzzy Clustering And Fuzzy Automata
Abstract
In this paper a close look is taken at the concepts of fuzzy clustering and fuzzy automata. In both instances fuzzy concepts are being applied to provide a medium level of intelligent behaviour in order to operate on and provide directives for low level control. The mean-tracking clustering algorithm which has been shown to be both computationally efficient and practically extremely useful, is explained and a fuzzy version of this is introduced. A direct link between fuzzy clustering and Radial Basis Function Neural Networks is then discussed and it is shown how, under certain circumstances, the two are in fact the same. Finally a new look is taken at fuzzy automata and their practical realisation.
Year
Venue
Keywords
1998
INTELLIGENT AUTOMATION AND SOFT COMPUTING
fuzzy logic, autonomous systems, self-organising systems, process control, automation
DocType
Volume
Issue
Journal
4
1
ISSN
Citations 
PageRank 
1079-8587
1
0.41
References 
Authors
2
2
Name
Order
Citations
PageRank
Kevin Warwick112921.37
Elmawati L. Sutanto220.77