Auditory evoked potential classification by unsupervised ART 2-A and supervised fuzzy ARTMAP networks

Author

Alpsan, Dogan

Author_Institution

Dept. of Med. Phys. & Eng., United Arab Emirates Univ., Al-Ain, United Arab Emirates

Volume

6

fYear

1994

fDate

27 Jun- 2 Jul 1994

Firstpage

3512

Abstract

Performance of ART 2-A, fuzzy ARTMAP and backpropagation systems on the classification of brainstem auditory evoked potentials is described. Fuzzy ARTMAP was deemed to be superior based on the criteria of both speed and high generalization. Higher generalization obtained with the fuzzy ARTMAP system was largely the result of a voting strategy which pooled information across individual simulations with different orderings of a given training set

Keywords

ART neural nets; auditory evoked potentials; backpropagation; bioelectric potentials; fuzzy neural nets; hearing; pattern classification; unsupervised learning; auditory evoked potential classification; backpropagation; brainstem auditory evoked potentials; generalization; supervised fuzzy ARTMAP networks; unsupervised ART 2-A; voting strategy; Biomedical engineering; Fuzzy set theory; Fuzzy systems; Impedance matching; Pattern matching; Physics; Prototypes; Subspace constraints; Testing; Voting;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1901-X

Type

conf

DOI

10.1109/ICNN.1994.374900

Filename

374900