Title :
Fuzzy ARTMAP with relevance factor
Author :
R. Andonie;L. Sasu;V. Beiu
Author_Institution :
Dept. of Electron. & Comput., Transylvania Univ. of Brasov, Romania
fDate :
6/25/1905 12:00:00 AM
Abstract :
An incremental, nonparametric probability estimation 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 and probabilistic FAM, both as a classifier and as a probability estimator.
Keywords :
"Neural networks","Learning systems","Computer networks","Computer science","Fuzzy neural networks","Data mining","Face","Pattern recognition","Probability density function","Noise level"
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223710
