Title
Fuzzy ARTVar: An improved fuzzy ARTMAP algorithm
Abstract
In this paper we introduce a variation of the performance phase of Fuzzy ARTMAP which is called Fuzzy ARTVar. Experimental results have shown that Fuzzy ARTVar exhibits superior generalization performance, compared to Fuzzy ARTMAP, for a variety of machine learning databases. Furthermore, experimental results have also demonstrated that Fuzzy ARTVar compares favorably with other existing variations of Fuzzy ARTMAP, such as ARTEMAP (power rule), ARTEMAPQ (Q-max rule), and Gaussian ARTMAP. What is worth noting is that the performance of Fuzzy ARTVar is independent of the tuning of network parameters, in contrast with the ARTEMAP, ARTEMAPQ, and Gaussian ARTMAP algorithms, whose performances depends on the choice of certain network parameters.
Publication Date
1-1-1998
Publication Title
IEEE International Conference on Neural Networks - Conference Proceedings
Volume
3
Number of Pages
1688-1693
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
0031624595 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0031624595
STARS Citation
Dagher, I.; Georgiopoulos, M.; and Heileman, G. L., "Fuzzy ARTVar: An improved fuzzy ARTMAP algorithm" (1998). Scopus Export 1990s. 3469.
https://stars.library.ucf.edu/scopus1990/3469