8 search results - page 1 / 2 » Classification of Noisy Signals Using Fuzzy ARTMAP Neural Ne... |
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
—This paper describes an approach to classification of noisy signals using a technique based on the fuzzy ARTMAP neural network (FAMNN). The proposed method is a modification of ...
FLAIRS
2006
13 years 6 months ago
2006
Fuzzy ARTMAP (FAM) is one of the best neural network architectures in solving classification problems. One of the limitations of Fuzzy ARTMAP that has been extensively reported in...
ESANN
2004
13 years 6 months ago
2004
FAMR (Fuzzy ARTMAP with Relevance factor) is a FAM (Fuzzy ARTMAP) neural network used for classification, probability estimation [3], [2], and function approximation [4]. FAMR uses...
EUSFLAT
2007
13 years 6 months ago
2007
The patterns which are presented to a Fuzzy ARTmap network should be preprocessed in such a way that the data are of appropriate clearance. In order to decrease the degree of simi...
APIN
2004
13 years 4 months ago
2004
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...