Title :
Auditory evoked potential classification by unsupervised ART 2-A and supervised fuzzy ARTMAP networks
Author_Institution :
Dept. of Med. Phys. & Eng., United Arab Emirates Univ., Al-Ain, United Arab Emirates
fDate :
27 Jun- 2 Jul 1994
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;
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
DOI :
10.1109/ICNN.1994.374900
