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Fuzzy ARTMAP with Relevance Factor Razvan Andonie
 

Summary: Fuzzy ARTMAP with Relevance Factor
Razvan Andonie
Department of Electronics and Computers
Transylvania University of Brasłov
Email: andonie@deltanet.ro
Lucian Sasu
Department of Computer Science
Transylvania University of Brasłov
Email: lmsasu@unitbv.ro
Valeriu Beiu
School of EE and CS
Washington State University, Pullman
Email: vbeiu@eecs.wsu.edu
Abstract-- An incremental, nonparametric probability estima-
tion procedure using a variation of the Fuzzy ARTMAP (FAM)
neural network is introduced. The resulted network, called Fuzzy
ARTMAP with Relevance factor (FAMR), uses a relevance factor
assigned to each sample pair, proportional to the importance
of the respective pair during the learning phase. Experimental
results have shown that FAMR favorably compares with FAM

  

Source: Andonie, Razvan - Department of Computer Science, Central Washington University

 

Collections: Computer Technologies and Information Sciences