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Combination of decisions from a multiple neural network classifier system
conference contribution
posted on 1999-01-01, 00:00 authored by Chee Peng LimChee Peng Lim, P Goay, P Teoh, R HarrisonIn this paper, a study of the effectiveness of a multiple classifier system (MCS) in a medical diagnostic task is described. A hybrid network, based on the integration of a fuzzy ARTMAP and the probabilistic neural network, is employed as the basis of the MCS. Outputs from multiple networks are combined using some decision combination method to reach a final prediction. By using a real medical database, a set of experiments has been conducted to evaluate the performance of the MSC with different network configurations. The experimental results reveal the potential of the MCS as a useful decision support tool in the medical field.
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Event
Knowledge-Based Intelligent Electronic Systems. Conference (3rd : 1999 : Adelaide, S. Aust.)Pagination
191 - 194Publisher
IEEELocation
Adelaide, S. Aust.Place of publication
Piscataway, N. J.Publisher DOI
Start date
1999-08-31End date
1999-09-01ISBN-10
0780355784Language
engPublication classification
E1.1 Full written paper - refereedTitle of proceedings
KES '99 : Proceedings of the 3rd International Conference on Knowledge-Based Intelligent Electronic SystemsUsage metrics
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